From ecc56d480d751be1dd83ebabc544a2d502de6fba Mon Sep 17 00:00:00 2001 From: Kyle Lesinger Date: Tue, 4 Nov 2025 07:48:29 -0600 Subject: [PATCH 1/2] add black marble colletion blue yellow --- .../blackmarble-gibs-blue-yellow.json | 82 +++++++++++++++++++ 1 file changed, 82 insertions(+) create mode 100644 ingestion-data/collections/blackmarble/blackmarble-gibs-blue-yellow.json diff --git a/ingestion-data/collections/blackmarble/blackmarble-gibs-blue-yellow.json b/ingestion-data/collections/blackmarble/blackmarble-gibs-blue-yellow.json new file mode 100644 index 0000000..f923202 --- /dev/null +++ b/ingestion-data/collections/blackmarble/blackmarble-gibs-blue-yellow.json @@ -0,0 +1,82 @@ +{ + "id": "VIIRS_SNPP_DayNightBand_AtSensor_M15", + "dashboard:is_periodic": true, + "dashboard:time_density": "day", + "dashboard:time_interval": "P1D", + "description": "Black Marble Nighttime Blue/Yellow Composite derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) sensor aboard the Suomi NPP satellite. This visualization layer provides at-sensor radiance measurements in a blue/yellow composite, capturing Earth's nighttime illumination patterns including artificial lights, auroras, and other nocturnal phenomena. The Day/Night Band is a low-light imaging sensor capable of detecting visible and near-infrared light wavelengths during nighttime conditions.", + "extent": { + "spatial": { + "bbox": [ + [ + -180, + -90, + 180, + 90 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2012-01-19T00:00:00Z", + null + ] + ] + } + }, + "license": "CC0-1.0", + "links": [ + { + "href": "https://gibs{s}.earthdata.nasa.gov/wmts/epsg3857/best/wmts.cgi", + "rel": "wmts", + "type": "image/png", + "title": "Visualized through a WMTS", + "href:servers": ["-a", "-b"], + "wmts:dimensions": { + "STYLE": "default" + }, + "wmts:layer": [ + "VIIRS_SNPP_DayNightBand_AtSensor_M15" + ] + } + ], + "product_level": "L1", + "providers": [ + { + "name": "NASA Global Imagery Browse Services (GIBS)", + "roles": [ + "host" + ], + "url": "https://nasa-gibs.github.io/gibs-api-docs/gis-usage/" + }, + { + "name": "NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC)", + "roles": [ + "producer", + "processor" + ], + "url": "https://www.earthdata.nasa.gov/centers/laads-daac" + }, + { + "name": "NASA's Earth Science Data and Information System (ESDIS)", + "roles": [ + "licensor" + ], + "url": "https://www.earthdata.nasa.gov/about/esdis" + } + ], + "stac_extensions": [ + "https://stac-extensions.github.io/web-map-links/v1.2.0/schema.json" + ], + "stac_version": "1.0.0", + "temporal_frequency": "daily", + "tilematrixset": "GoogleMapsCompatible_Level8", + "time_density": "day", + "time_interval": "P1D", + "title": "Black Marble Nighttime Blue/Yellow Composite (Day/Night Band, VIIRS, Suomi NPP)", + "type": "Collection", + "units": "W/cm^2/sr", + "keywords": ["nighttime lights", "VIIRS", "DNB", "Black Marble", "at-sensor radiance"], + "tenant": ["nasa-disasters"], + "summaries": {} +} From 56baa13371ac05d4ffaaddc63dcbf5956b99df04 Mon Sep 17 00:00:00 2001 From: Kyle Lesinger Date: Fri, 7 Nov 2025 14:19:57 -0600 Subject: [PATCH 2/2] update hurraicne milton json configs --- .../landsat/landsat-all-vars-daily.json | 196 ++++ .../old-landsat-colorIR.json | 87 ++ .../old-landsat-naturalcolor.json | 87 ++ .../old-landsat8-nat-conus.json | 66 ++ .../old-landsat9-nat-conus.json | 66 ++ .../uavsar/uavsar-all-vars-daily.json | 143 +++ .../uavsar/uavsar-all-vars-monthly.json | 226 ++++ .../uavsar/uavsar-all-vars-subdaily.json | 101 ++ .../eccodarwin-co2flux-monthgrid-v5.json | 85 -- ingestion-data/datasets/emit-ch4plume-v1.json | 72 -- .../epa-ch4emission-yeargrid-v2express.json | 1010 ----------------- .../gosat-based-ch4budget-yeargrid-v1.json | 214 ---- .../datasets/gra2pes-ghg-monthgrid-v1.json | 186 --- .../lpjeosim-wetlandch4-daygrid-v2.json | 117 -- .../lpjeosim-wetlandch4-monthgrid-v2.json | 117 -- .../micasa-carbonflux-daygrid-v1.json | 244 ---- .../micasa-carbonflux-monthgrid-v1.json | 245 ---- .../oco2-mip-co2budget-yeargrid-v1.json | 674 ----------- .../datasets/oco2geos-co2-daygrid-v10r.json | 98 -- .../datasets/odiac-ffco2-monthgrid-v2022.json | 94 -- .../datasets/odiac-ffco2-monthgrid-v2023.json | 94 -- .../sedac-popdensity-yeargrid5yr-v4.11.json | 85 -- .../tm54dvar-ch4flux-mask-monthgrid-v1.json | 163 --- .../vulcan-ffco2-elc-res-yeargrid-v4.json | 94 -- .../datasets/vulcan-ffco2-yeargrid-v4.json | 354 ------ ...asagfed-carbonflux-monthgrid-v3-items.json | 35 - ...h4budget-yeargrid-v1-items-all-layers.json | 200 ---- .../lpjeosim-wetlandch4-daygrid-v2-items.json | 25 - ...pjeosim-wetlandch4-monthgrid-v2-items.json | 25 - .../lpjwsl-wetlandch4-daygrid-v1-items.json | 14 - .../lpjwsl-wetlandch4-monthgrid-v1-items.json | 14 - ...2-mip-meanco2budget-yeargrid-v1-items.json | 170 --- ...eccodarwin-co2flux-monthgrid-v5-items.json | 16 - ...-ch4emission-yeargrid-v2express-items.json | 180 --- ...sat-based-ch4budget-yeargrid-v1-items.json | 40 - .../gra2pes-ghg-monthgrid-v1-items.json | 36 - .../landsat/landsat-all-vars-daily.json | 48 + .../old-landsat-colorIR.json | 23 + .../old-landsat-naturalcolor.json | 23 + .../micasa-carbonflux-daygrid-v1-items.json | 45 - .../micasa-carbonflux-monthgrid-v1-items.json | 46 - .../oco2-mip-co2budget-yeargrid-v1-items.json | 170 --- .../oco2geos-co2-daygrid-v10r-items.json | 20 - .../odiac-ffco2-monthgrid-v2022-items.json | 16 - .../odiac-ffco2-monthgrid-v2023-items.json | 16 - .../scheduled/emit-ch4plume-v1-items.json | 14 - .../lpjeosim-wetlandch4-daygrid-v2-items.json | 54 - ...pjeosim-wetlandch4-monthgrid-v2-items.json | 56 - ...ac-popdensity-yeargrid5yr-v4.11-items.json | 16 - ...4dvar-ch4flux-mask-monthgrid-v1-items.json | 31 - .../uavsar/uavsar-all-vars-daily.json | 33 + .../uavsar/uavsar-all-vars-subdaily.json | 23 + .../discovery-items/vector-data-items.json | 13 - ...ulcan-ffco2-elc-res-yeargrid-v4-items.json | 16 - .../vulcan-ffco2-yeargrid-v4-items.json | 66 -- .../eccodarwin-co2flux-monthgrid-v5.json | 7 - .../epa-ch4emission-yeargrid-v2express.json | 7 - .../gosat-based-ch4budget-yeargrid-v1.json | 7 - .../gra2pes-ghg-monthgrid-v1.json | 7 - .../lpjeosim-wetlandch4-daygrid-v2.json | 7 - .../lpjeosim-wetlandch4-monthgrid-v2.json | 7 - .../micasa-carbonflux-daygrid-v1.json | 7 - .../micasa-carbonflux-monthgrid-v1.json | 7 - .../oco2-mip-co2budget-yeargrid-v1.json | 7 - .../oco2geos-co2-daygrid-v10r.json | 7 - .../odiac-ffco2-monthgrid-v2022.json | 7 - .../odiac-ffco2-monthgrid-v2023.json | 7 - .../sedac-popdensity-yeargrid5yr-v4.11.json | 7 - .../tm54dvar-ch4flux-mask-monthgrid-v1.json | 7 - .../vulcan-ffco2-elc-res-yeargrid-v4.json | 7 - .../vulcan-ffco2-yeargrid-v4.json | 7 - 71 files changed, 1122 insertions(+), 5392 deletions(-) create mode 100644 ingestion-data/collections/landsat/landsat-all-vars-daily.json create mode 100644 ingestion-data/collections/landsat/old-single-collections/old-landsat-colorIR.json create mode 100644 ingestion-data/collections/landsat/old-single-collections/old-landsat-naturalcolor.json create mode 100644 ingestion-data/collections/landsat/old-single-collections/old-landsat8-nat-conus.json create mode 100644 ingestion-data/collections/landsat/old-single-collections/old-landsat9-nat-conus.json create mode 100644 ingestion-data/collections/uavsar/uavsar-all-vars-daily.json create mode 100644 ingestion-data/collections/uavsar/uavsar-all-vars-monthly.json create mode 100644 ingestion-data/collections/uavsar/uavsar-all-vars-subdaily.json delete mode 100644 ingestion-data/datasets/eccodarwin-co2flux-monthgrid-v5.json delete mode 100644 ingestion-data/datasets/emit-ch4plume-v1.json delete mode 100644 ingestion-data/datasets/epa-ch4emission-yeargrid-v2express.json delete mode 100644 ingestion-data/datasets/gosat-based-ch4budget-yeargrid-v1.json delete mode 100644 ingestion-data/datasets/gra2pes-ghg-monthgrid-v1.json delete mode 100644 ingestion-data/datasets/lpjeosim-wetlandch4-daygrid-v2.json delete mode 100644 ingestion-data/datasets/lpjeosim-wetlandch4-monthgrid-v2.json delete mode 100644 ingestion-data/datasets/micasa-carbonflux-daygrid-v1.json delete mode 100644 ingestion-data/datasets/micasa-carbonflux-monthgrid-v1.json delete mode 100644 ingestion-data/datasets/oco2-mip-co2budget-yeargrid-v1.json delete mode 100644 ingestion-data/datasets/oco2geos-co2-daygrid-v10r.json delete mode 100644 ingestion-data/datasets/odiac-ffco2-monthgrid-v2022.json delete mode 100644 ingestion-data/datasets/odiac-ffco2-monthgrid-v2023.json delete mode 100644 ingestion-data/datasets/sedac-popdensity-yeargrid5yr-v4.11.json delete mode 100644 ingestion-data/datasets/tm54dvar-ch4flux-mask-monthgrid-v1.json delete mode 100644 ingestion-data/datasets/vulcan-ffco2-elc-res-yeargrid-v4.json delete mode 100644 ingestion-data/datasets/vulcan-ffco2-yeargrid-v4.json delete mode 100644 ingestion-data/discovery-items/archive/casagfed-carbonflux-monthgrid-v3-items.json delete mode 100644 ingestion-data/discovery-items/archive/gosat-based-ch4budget-yeargrid-v1-items-all-layers.json delete mode 100644 ingestion-data/discovery-items/archive/lpjeosim-wetlandch4-daygrid-v2-items.json delete mode 100644 ingestion-data/discovery-items/archive/lpjeosim-wetlandch4-monthgrid-v2-items.json delete mode 100644 ingestion-data/discovery-items/archive/lpjwsl-wetlandch4-daygrid-v1-items.json delete mode 100644 ingestion-data/discovery-items/archive/lpjwsl-wetlandch4-monthgrid-v1-items.json delete mode 100644 ingestion-data/discovery-items/archive/oco2-mip-meanco2budget-yeargrid-v1-items.json delete mode 100644 ingestion-data/discovery-items/eccodarwin-co2flux-monthgrid-v5-items.json delete mode 100644 ingestion-data/discovery-items/epa-ch4emission-yeargrid-v2express-items.json delete mode 100644 ingestion-data/discovery-items/gosat-based-ch4budget-yeargrid-v1-items.json delete mode 100644 ingestion-data/discovery-items/gra2pes-ghg-monthgrid-v1-items.json create mode 100644 ingestion-data/discovery-items/landsat/landsat-all-vars-daily.json create mode 100644 ingestion-data/discovery-items/landsat/old-single-collections/old-landsat-colorIR.json create mode 100644 ingestion-data/discovery-items/landsat/old-single-collections/old-landsat-naturalcolor.json delete mode 100644 ingestion-data/discovery-items/micasa-carbonflux-daygrid-v1-items.json delete mode 100644 ingestion-data/discovery-items/micasa-carbonflux-monthgrid-v1-items.json delete mode 100644 ingestion-data/discovery-items/oco2-mip-co2budget-yeargrid-v1-items.json delete mode 100644 ingestion-data/discovery-items/oco2geos-co2-daygrid-v10r-items.json delete mode 100644 ingestion-data/discovery-items/odiac-ffco2-monthgrid-v2022-items.json delete mode 100644 ingestion-data/discovery-items/odiac-ffco2-monthgrid-v2023-items.json delete mode 100644 ingestion-data/discovery-items/scheduled/emit-ch4plume-v1-items.json delete mode 100644 ingestion-data/discovery-items/scheduled/lpjeosim-wetlandch4-daygrid-v2-items.json delete mode 100644 ingestion-data/discovery-items/scheduled/lpjeosim-wetlandch4-monthgrid-v2-items.json delete mode 100644 ingestion-data/discovery-items/sedac-popdensity-yeargrid5yr-v4.11-items.json delete mode 100644 ingestion-data/discovery-items/tm54dvar-ch4flux-mask-monthgrid-v1-items.json create mode 100644 ingestion-data/discovery-items/uavsar/uavsar-all-vars-daily.json create mode 100644 ingestion-data/discovery-items/uavsar/uavsar-all-vars-subdaily.json delete mode 100644 ingestion-data/discovery-items/vector-data-items.json delete mode 100644 ingestion-data/discovery-items/vulcan-ffco2-elc-res-yeargrid-v4-items.json delete mode 100644 ingestion-data/discovery-items/vulcan-ffco2-yeargrid-v4-items.json delete mode 100644 ingestion-data/transfer-config/eccodarwin-co2flux-monthgrid-v5.json delete mode 100644 ingestion-data/transfer-config/epa-ch4emission-yeargrid-v2express.json delete mode 100644 ingestion-data/transfer-config/gosat-based-ch4budget-yeargrid-v1.json delete mode 100644 ingestion-data/transfer-config/gra2pes-ghg-monthgrid-v1.json delete mode 100644 ingestion-data/transfer-config/lpjeosim-wetlandch4-daygrid-v2.json delete mode 100644 ingestion-data/transfer-config/lpjeosim-wetlandch4-monthgrid-v2.json delete mode 100644 ingestion-data/transfer-config/micasa-carbonflux-daygrid-v1.json delete mode 100644 ingestion-data/transfer-config/micasa-carbonflux-monthgrid-v1.json delete mode 100644 ingestion-data/transfer-config/oco2-mip-co2budget-yeargrid-v1.json delete mode 100644 ingestion-data/transfer-config/oco2geos-co2-daygrid-v10r.json delete mode 100644 ingestion-data/transfer-config/odiac-ffco2-monthgrid-v2022.json delete mode 100644 ingestion-data/transfer-config/odiac-ffco2-monthgrid-v2023.json delete mode 100644 ingestion-data/transfer-config/sedac-popdensity-yeargrid5yr-v4.11.json delete mode 100644 ingestion-data/transfer-config/tm54dvar-ch4flux-mask-monthgrid-v1.json delete mode 100644 ingestion-data/transfer-config/vulcan-ffco2-elc-res-yeargrid-v4.json delete mode 100644 ingestion-data/transfer-config/vulcan-ffco2-yeargrid-v4.json diff --git a/ingestion-data/collections/landsat/landsat-all-vars-daily.json b/ingestion-data/collections/landsat/landsat-all-vars-daily.json new file mode 100644 index 0000000..23a625e --- /dev/null +++ b/ingestion-data/collections/landsat/landsat-all-vars-daily.json @@ -0,0 +1,196 @@ +{ + "id": "landsat-all-vars-daily", + "dashboard:is_periodic": false, + "dashboard:time_interval": "P1D", + "description": "NASA Landsat satellites provide continuous Earth observations since 1972, capturing multispectral imagery across visible and infrared wavelengths. This collection includes multiple visualization products: true and natural color composites, color infrared for vegetation analysis, and calculated indices like NDVI for vegetation health, NBR for burn severity, and MNDWI for water detection. These products support environmental monitoring, disaster response, agriculture, and land cover mapping.", + "title": "Landsat - All Variables", + "extent": { + "spatial": { + "bbox": [ + [ + -125, + 24, + -66, + 49 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2020-01-01T00:00:00Z", + null + ] + ] + } + }, + "item_assets": { + "nbr": { + "description": "The Normalized Burn Ratio (NBR) is a satellite-based index, primarily using Landsat imagery, that identifies burned areas and quantifies the severity of a fire. It is calculated using a ratio of near-infrared (NIR) and shortwave infrared (SWIR) bands, which are affected differently by fire, with higher NBR values indicating less damage and lower values indicating more severe burns. The difference between the pre-fire and post-fire NBR, known as the differenced NBR (dNBR), is used to map burn severity.", + "roles": [ + "data", + "layer" + ], + "title": "Normalized Burn Ratio", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "colorInfrared": { + "description": "False-color composite using near-infrared, red, and green bands. Vegetation appears red, water dark, and urban areas gray-blue.", + "roles": [ + "data", + "layer" + ], + "title": "Color Infrared", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "mndwi": { + "description": "Water detection index using green and shortwave infrared bands. Enhances open water features and suppresses built-up areas.", + "roles": [ + "data", + "layer" + ], + "title": "Modified Normalized Difference Water Index - Landsat 8", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "naturalColor": { + "description": "Color-balanced composite using visible bands (red, green, blue) to approximate natural human vision of the landscape.", + "roles": [ + "data", + "layer" + ], + "title": "Natural Color", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "ndvi": { + "description": "Vegetation health index comparing red and near-infrared reflectance. Higher values indicate healthier, denser vegetation.", + "roles": [ + "data", + "layer" + ], + "title": "Normalized Difference Vegetation Index - Landsat 8", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "tropics": { + "description": "Tropics", + "roles": [ + "data", + "layer" + ], + "title": "Tropics", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "trueColor": { + "description": "Standard RGB composite using visible bands (red, green, blue) without color balancing adjustments.", + "roles": [ + "data", + "layer" + ], + "title": "True Color", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + } + }, + "license": "CC0-1.0", + "links": [], + "providers": [ + { + "name": "NASA" + } + ], + "renders": { + "nbr": { + "bidx": [1,2,3], + "assets": [ + "nbr" + ], + "rescale": [ + [ + -1, + 1 + ] + ], + "nodata": -9999 + }, + "colorInfrared": { + "bidx": [1,2,3], + "assets": [ + "colorInfrared" + ], + "rescale": [ + [ + 0, + 255 + ] + ], + "nodata": 0 + }, + "mndwi": { + "assets": [ + "mndwi" + ], + "rescale": [ + [ + -1, + 1 + ] + ], + "nodata": -9999.0 + }, + "naturalColor": { + "bidx": [1,2,3], + "assets": [ + "naturalColor" + ], + "rescale": [ + [ + 0, + 255 + ] + ], + "nodata": 0 + }, + "ndvi": { + "assets": [ + "ndvi" + ], + "rescale": [ + [ + -1, + 1 + ] + ], + "nodata": -9999.0 + }, + "tropics": { + "assets": [ + "tropics" + ], + "rescale": [ + [ + 0, + 300 + ] + ], + "nodata": -9999.0 + }, + "trueColor": { + "bidx": [1,2,3], + "assets": [ + "trueColor" + ], + "rescale": [ + [ + 0, + 255 + ] + ], + "nodata": 0 + } + }, + "stac_extensions": [ + "https://stac-extensions.github.io/render/v1.0.0/schema.json", + "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" + ], + "stac_version": "1.0.0", + "type": "Collection", + "tenant": ["nasa-disasters"] +} \ No newline at end of file diff --git a/ingestion-data/collections/landsat/old-single-collections/old-landsat-colorIR.json b/ingestion-data/collections/landsat/old-single-collections/old-landsat-colorIR.json new file mode 100644 index 0000000..89aba4a --- /dev/null +++ b/ingestion-data/collections/landsat/old-single-collections/old-landsat-colorIR.json @@ -0,0 +1,87 @@ +{ + "id": "landsat-colorIR", + "dashboard:is_periodic": false, + "dashboard:time_interval": "day", + "description": "NASA Landsat color infrared imagery is created by combining satellite data from the near-infrared, red, and green bands. In this false-color composite, healthy vegetation appears bright red because plants strongly reflect near-infrared light, while water looks dark and urban areas appear gray or blue. This visualization helps scientists assess plant health, map land cover, and monitor changes in ecosystems. It’s widely used for agriculture, forestry, and environmental monitoring.", + "title": "Landsat Color Infrared", + "extent": { + "spatial": { + "bbox": [ + [ + -125, + 24, + -66, + 49 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2020-01-01T00:00:00Z", + "null" + ] + ] + } + }, + "item_assets": { + "cir-ls08": { + "description": "Landsat_CIR_LS8", + "roles": [ + "data", + "layer" + ], + "title": "Landsat_CIR_LS8", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "cir-ls09": { + "description": "Landsat_CIR_LS9", + "roles": [ + "data", + "layer" + ], + "title": "Landsat_CIR_LS9", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + } + }, + "license": "CC0-1.0", + "links": [], + "providers": [ + { + "name": "NASA" + } + ], + "renders": { + "cir-ls08": { + "bidx": [1,2,3], + "assets": [ + "cir-ls08" + ], + "rescale": [ + [ + 0, + 255 + ] + ] + }, + "cir-ls09": { + "bidx": [1,2,3], + "assets": [ + "cir-ls09" + ], + "rescale": [ + [ + 0, + 255 + ] + ] + } + }, + "stac_extensions": [ + "https://stac-extensions.github.io/render/v1.0.0/schema.json", + "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" + ], + "stac_version": "1.0.0", + "type": "Collection", + "tenant": ["nasa-disasters"] +} \ No newline at end of file diff --git a/ingestion-data/collections/landsat/old-single-collections/old-landsat-naturalcolor.json b/ingestion-data/collections/landsat/old-single-collections/old-landsat-naturalcolor.json new file mode 100644 index 0000000..1458beb --- /dev/null +++ b/ingestion-data/collections/landsat/old-single-collections/old-landsat-naturalcolor.json @@ -0,0 +1,87 @@ +{ + "id": "landsat-naturalcolor", + "dashboard:is_periodic": false, + "dashboard:time_interval": "P1D", + "description": "NASA Landsat color infrared imagery is created by combining satellite data from the near-infrared, red, and green bands. In this false-color composite, healthy vegetation appears bright red because plants strongly reflect near-infrared light, while water looks dark and urban areas appear gray or blue. This visualization helps scientists assess plant health, map land cover, and monitor changes in ecosystems. It’s widely used for agriculture, forestry, and environmental monitoring.", + "extent": { + "spatial": { + "bbox": [ + [ + -125, + 24, + -66, + 49 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2020-06-28T00:00:00Z", + "2025-02-19T00:00:00Z" + ] + ] + } + }, + "item_assets": { + "nc-ls08": { + "description": "Landsat CIR", + "roles": [ + "data", + "layer" + ], + "title": "Landsat Color Infrared", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "nc-ls09": { + "description": "Landsat CIR", + "roles": [ + "data", + "layer" + ], + "title": "Landsat Color Infrared", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + } + }, + "license": "CC0-1.0", + "links": [], + "providers": [ + { + "name": "NASA" + } + ], + "renders": { + "nc-ls08": { + "bidx": [1,2,3], + "assets": [ + "nc-ls08" + ], + "rescale": [ + [ + 0, + 255 + ] + ] + }, + "nc-ls09": { + "bidx": [1,2,3], + "assets": [ + "nc-ls09" + ], + "rescale": [ + [ + 0, + 255 + ] + ] + } + }, + "stac_extensions": [ + "https://stac-extensions.github.io/render/v1.0.0/schema.json", + "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" + ], + "stac_version": "1.0.0", + "title": "Landsat Natural Color", + "type": "Collection", + "tenant": ["nasa-disasters"] +} \ No newline at end of file diff --git a/ingestion-data/collections/landsat/old-single-collections/old-landsat8-nat-conus.json b/ingestion-data/collections/landsat/old-single-collections/old-landsat8-nat-conus.json new file mode 100644 index 0000000..dcb86f9 --- /dev/null +++ b/ingestion-data/collections/landsat/old-single-collections/old-landsat8-nat-conus.json @@ -0,0 +1,66 @@ +{ + "id": "landsat8-nat", + "dashboard:is_periodic": false, + "dashboard:time_interval": "day", + "description": "NASA Landsat natural color satellite data combines visible light bands (red, green, and blue) to produce imagery that closely resembles what the human eye would see from space. It is often used to monitor land cover, vegetation, water bodies, and urban areas. These images are helpful for applications like environmental monitoring, resource management, and mapping. Natural color Landsat data provides a clear, intuitive view of Earth’s surface for both scientists and the public.", + "extent": { + "spatial": { + "bbox": [ + [ + -125, + 24, + -66, + 49 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2024-08-30T00:00:00Z", + "2024-10-01T00:00:00Z" + ] + ] + } + }, + "item_assets": { + "landsat8-nat": { + "description": "Landsat-08 Natural Color.", + "roles": [ + "data", + "layer" + ], + "title": "Landsat-08 Natural Color", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + } + }, + "license": "CC0-1.0", + "links": [], + "providers": [ + { + "name": "NASA" + } + ], + "renders": { + "dashboard": { + "bidx": [1,2,3], + "assets": [ + "landsat8-nat" + ], + "rescale": [ + [ + 0, + 255 + ] + ] + } + }, + "stac_extensions": [ + "https://stac-extensions.github.io/render/v1.0.0/schema.json", + "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" + ], + "stac_version": "1.0.0", + "title": "Landsat-08 Natural Color", + "type": "Collection", + "tenant": ["nasa-disasters"] +} \ No newline at end of file diff --git a/ingestion-data/collections/landsat/old-single-collections/old-landsat9-nat-conus.json b/ingestion-data/collections/landsat/old-single-collections/old-landsat9-nat-conus.json new file mode 100644 index 0000000..1fdba6c --- /dev/null +++ b/ingestion-data/collections/landsat/old-single-collections/old-landsat9-nat-conus.json @@ -0,0 +1,66 @@ +{ + "id": "landsat9-nat", + "dashboard:is_periodic": false, + "dashboard:time_interval": "day", + "description": "NASA Landsat natural color satellite data combines visible light bands (red, green, and blue) to produce imagery that closely resembles what the human eye would see from space. It is often used to monitor land cover, vegetation, water bodies, and urban areas. These images are helpful for applications like environmental monitoring, resource management, and mapping. 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This daily collection aggregates radar measurements and includes multiple products: amplitude data showing radar backscatter intensity, correlation measurements for change detection, interferometric products for surface deformation analysis, and polarimetric decompositions for characterizing surface properties. UAVSAR's fine spatial resolution and multiple polarization channels enable detailed monitoring of natural disasters, including earthquakes, volcanic activity, landslides, floods, oil spills, and wildfire impacts.", + "extent": { + "spatial": { + "bbox": [ + [ + -125, + 24, + -66, + 49 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2020-01-01T00:00:00Z", + null + ] + ] + } + }, + "item_assets": { + "displacement": { + "description": "Surface displacement measurements derived from interferometric SAR processing, showing ground movement in meters.", + "roles": [ + "data", + "layer" + ], + "title": "Displacement", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "rgb": { + "description": "RGB composite visualization combining multiple polarization channels for enhanced interpretation of radar backscatter.", + "roles": [ + "data", + "layer" + ], + "title": "RGB Composite", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "UNet-predictedScore": { + "description": "Machine learning predicted score from U-Net model analysis of SAR imagery, providing confidence values for feature detection.", + "roles": [ + "data", + "layer" + ], + "title": "UNet Predicted Score", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "UNet-class": { + "description": "Classification output from U-Net model applied to SAR data, identifying distinct surface features and land cover types.", + "roles": [ + "data", + "layer" + ], + "title": "UNet Classification", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + } + }, + "license": "CC0-1.0", + "links": [], + "providers": [ + { + "name": "NASA Jet Propulsion Laboratory", + "roles": [ + "producer", + "processor" + ], + "url": "https://uavsar.jpl.nasa.gov/" + }, + { + "name": "NASA Disasters Program", + "roles": [ + "host" + ], + "url": "https://disasters.openveda.cloud" + } + ], + "renders": { + "displacement": { + "assets": [ + "displacement" + ], + "rescale": [ + [ + -0.01, + 0.2 + ] + ], + "nodata": -9999.0 + }, + "rgb": { + "bidx": [1, 2, 3, 4], + "assets": [ + "rgb" + ], + "rescale": [ + [ + 0, + 255 + ] + ], + "nodata": 0 + }, + "UNet-predictedScore": { + "assets": [ + "UNet-predictedScore" + ], + "rescale": [ + [ + 0, + 1 + ] + ], + "nodata": -9999.0 + }, + "UNet-class": { + "assets": [ + "UNet-class" + ], + "bidx": [1, 2, 3, 4], + "rescale": [ + [ + 0, + 255 + ] + ], + "nodata": 0 + } + }, + "stac_extensions": [ + "https://stac-extensions.github.io/render/v1.0.0/schema.json", + "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" + ], + "stac_version": "1.0.0", + "type": "Collection", + "tenant": ["nasa-disasters"] +} diff --git a/ingestion-data/collections/uavsar/uavsar-all-vars-monthly.json b/ingestion-data/collections/uavsar/uavsar-all-vars-monthly.json new file mode 100644 index 0000000..3d461b0 --- /dev/null +++ b/ingestion-data/collections/uavsar/uavsar-all-vars-monthly.json @@ -0,0 +1,226 @@ +{ + "id": "uavsar-all-vars-monthly", + "dashboard:is_periodic": false, + "dashboard:time_interval": "P1M", + "title": "UAVSAR - All Variables (Monthly)", + "description": "NASA's Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) provides high-resolution L-band polarimetric radar imagery for Earth observations. This monthly collection aggregates radar measurements over time for trend analysis and includes multiple products: amplitude data showing radar backscatter intensity, correlation measurements for long-term change detection, interferometric products for cumulative surface deformation analysis, and polarimetric decompositions for characterizing surface properties. UAVSAR's fine spatial resolution and multiple polarization channels enable long-term monitoring of natural disasters and environmental changes, including earthquakes, volcanic activity, landslides, floods, oil spills, and wildfire recovery patterns.", + "extent": { + "spatial": { + "bbox": [ + [ + -125, + 24, + -66, + 49 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2020-01-01T00:00:00Z", + null + ] + ] + } + }, + "item_assets": { + "amplitude-hh": { + "description": "Monthly composite of horizontally transmitted and received radar amplitude showing strong returns from smooth surfaces and double-bounce scattering.", + "roles": [ + "data", + "layer" + ], + "title": "Amplitude HH Polarization", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "amplitude-hv": { + "description": "Monthly composite of cross-polarized amplitude sensitive to volume scattering from vegetation canopy and rough surfaces.", + "roles": [ + "data", + "layer" + ], + "title": "Amplitude HV Polarization", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "amplitude-vv": { + "description": "Monthly composite of vertically transmitted and received radar amplitude showing strong penetration into vegetation and soil moisture sensitivity.", + "roles": [ + "data", + "layer" + ], + "title": "Amplitude VV Polarization", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "correlation": { + "description": "Monthly interferometric correlation coefficient indicating long-term temporal stability and coherence between radar acquisitions.", + "roles": [ + "data", + "layer" + ], + "title": "Interferometric Correlation", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "interferogram": { + "description": "Monthly phase difference measurement for detecting cumulative surface deformation, subsidence, and topographic changes.", + "roles": [ + "data", + "layer" + ], + "title": "Interferogram", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "rgb-composite": { + "description": "Monthly false-color composite combining multiple polarizations for visual interpretation of surface characteristics.", + "roles": [ + "data", + "layer" + ], + "title": "RGB Composite", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "deformation": { + "description": "Monthly surface deformation map derived from interferometric processing, showing cumulative ground displacement in millimeters.", + "roles": [ + "data", + "layer" + ], + "title": "Surface Deformation", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "coherence-change": { + "description": "Monthly coherence change detection layer identifying areas with significant temporal decorrelation due to land cover changes or disturbances.", + "roles": [ + "data", + "layer" + ], + "title": "Coherence Change Detection", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + } + }, + "license": "CC0-1.0", + "links": [], + "providers": [ + { + "name": "NASA Jet Propulsion Laboratory", + "roles": [ + "producer", + "processor" + ], + "url": "https://uavsar.jpl.nasa.gov/" + }, + { + "name": "NASA Disasters Program", + "roles": [ + "host" + ], + "url": "https://disasters.openveda.cloud" + } + ], + "renders": { + "amplitude-hh": { + "assets": [ + "amplitude-hh" + ], + "rescale": [ + [ + 0, + 1 + ] + ], + "nodata": 0 + }, + "amplitude-hv": { + "assets": [ + "amplitude-hv" + ], + "rescale": [ + [ + 0, + 1 + ] + ], + "nodata": 0 + }, + "amplitude-vv": { + "assets": [ + "amplitude-vv" + ], + "rescale": [ + [ + 0, + 1 + ] + ], + "nodata": 0 + }, + "correlation": { + "assets": [ + "correlation" + ], + "rescale": [ + [ + 0, + 1 + ] + ], + "nodata": -9999.0 + }, + "interferogram": { + "assets": [ + "interferogram" + ], + "rescale": [ + [ + -3.14159, + 3.14159 + ] + ], + "nodata": -9999.0 + }, + "rgb-composite": { + "bidx": [1, 2, 3], + "assets": [ + "rgb-composite" + ], + "rescale": [ + [ + 0, + 255 + ] + ], + "nodata": 0 + }, + "deformation": { + "assets": [ + "deformation" + ], + "rescale": [ + [ + -500, + 500 + ] + ], + "nodata": -9999.0 + }, + "coherence-change": { + "assets": [ + "coherence-change" + ], + "rescale": [ + [ + 0, + 1 + ] + ], + "nodata": -9999.0 + } + }, + "stac_extensions": [ + "https://stac-extensions.github.io/render/v1.0.0/schema.json", + "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" + ], + "stac_version": "1.0.0", + "type": "Collection", + "tenant": ["nasa-disasters"] +} diff --git a/ingestion-data/collections/uavsar/uavsar-all-vars-subdaily.json b/ingestion-data/collections/uavsar/uavsar-all-vars-subdaily.json new file mode 100644 index 0000000..292f021 --- /dev/null +++ b/ingestion-data/collections/uavsar/uavsar-all-vars-subdaily.json @@ -0,0 +1,101 @@ +{ + "id": "uavsar-all-vars-subdaily", + "dashboard:is_periodic": false, + "dashboard:time_interval": "PT1H", + "title": "UAVSAR - All Variables (Subdaily)", + "description": "NASA's Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) provides high-resolution L-band polarimetric radar imagery for Earth observations. This subdaily collection captures rapid changes and includes multiple products: amplitude data showing radar backscatter intensity, correlation measurements for change detection, interferometric products for surface deformation analysis, and polarimetric decompositions for characterizing surface properties. UAVSAR's fine spatial resolution and multiple polarization channels enable detailed monitoring of natural disasters, including earthquakes, volcanic activity, landslides, floods, oil spills, and wildfire impacts.", + "extent": { + "spatial": { + "bbox": [ + [ + -125, + 24, + -66, + 49 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2020-01-01T00:00:00Z", + null + ] + ] + } + }, + "item_assets": { + "class": { + "description": "Classification quicklook visualization showing categorized surface features and land cover types derived from SAR analysis.", + "roles": [ + "data", + "layer" + ], + "title": "Quicklook Classification", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + }, + "rgb": { + "description": "RGB quicklook composite providing rapid visual interpretation of radar backscatter across multiple polarizations.", + "roles": [ + "data", + "layer" + ], + "title": "Quicklook RGB", + "type": "image/tiff; application=geotiff; profile=cloud-optimized" + } + }, + "license": "CC0-1.0", + "links": [], + "providers": [ + { + "name": "NASA Jet Propulsion Laboratory", + "roles": [ + "producer", + "processor" + ], + "url": "https://uavsar.jpl.nasa.gov/" + }, + { + "name": "NASA Disasters Program", + "roles": [ + "host" + ], + "url": "https://disasters.openveda.cloud" + } + ], + "renders": { + "class": { + "assets": [ + "class" + ], + "bidx": [1,2,3,4], + "rescale": [ + [ + 0, + 255 + ] + ], + "nodata": 0 + }, + "rgb": { + "assets": [ + "rgb" + ], + "bidx": [1,2,3,4], + "rescale": [ + [ + 0, + 255 + ] + ], + "nodata": 0 + } + }, + "stac_extensions": [ + "https://stac-extensions.github.io/render/v1.0.0/schema.json", + "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" + ], + "stac_version": "1.0.0", + "type": "Collection", + "tenant": ["nasa-disasters"] +} diff --git a/ingestion-data/datasets/eccodarwin-co2flux-monthgrid-v5.json b/ingestion-data/datasets/eccodarwin-co2flux-monthgrid-v5.json deleted file mode 100644 index 616db6a..0000000 --- a/ingestion-data/datasets/eccodarwin-co2flux-monthgrid-v5.json +++ /dev/null @@ -1,85 +0,0 @@ -{ - "collection": "eccodarwin-co2flux-monthgrid-v5", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2020-01-01T00:00:00Z", - "enddate": "2022-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "Air-Sea CO\u2082 Flux, ECCO-Darwin Model v5", - "description": "Global, monthly average air-sea CO\u2082 flux (negative into ocean) at ~1/3\u00b0 resolution from 2020 to 2022. Data are in units of millimoles of CO\u2082 per meter squared per second (mmol m\u00b2/s). Derived using the ECCO-Darwin model v5, which is an ocean biogeochemical model that assimilates Estimating the Circulation and Climate of the Ocean (ECCO) consortium ocean circulation estimates and biogeochemical processes from the Massachusetts Institute of Technology (MIT) Darwin Project.", - "discovery_items": [ - { - "discovery": "s3", - "collection": "eccodarwin-co2flux-monthgrid-v5", - "bucket": "ghgc-data-store-develop", - "prefix": "eccodarwin-co2flux-monthgrid-v5/", - "filename_regex": ".*ECCO-Darwin_.*.tif$", - "datetime_range": "month", - "assets": { - "co2": { - "title": "Air-Sea CO\u2082 Flux", - "description": "Monthly mean air-sea CO\u2082 flux (negative into ocean).", - "regex": ".*Darwin_CO2.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "eccodarwin-co2flux-monthgrid-v5-{}" - } - ], - "is_periodic": true, - "license": "CC-BY-4.0", - "sample_files": [ - "" - ], - "providers": null, - "renders": { - "dashboard": { - "assets": [ - "co2" - ], - "colormap_name": "bwr", - "rescale": [ - [ - -0.0007, - 0.0002 - ] - ] - }, - "co2": { - "assets": [ - "co2" - ], - "colormap_name": "bwr", - "rescale": [ - [ - -0.0007, - 0.0002 - ] - ] - } - }, - "item_assets": { - "co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Air-Sea CO\u2082 Flux", - "description": "Monthly mean air-sea CO\u2082 flux (negative into ocean)." - } - }, - "assets": null, - "time_density": "month" -} diff --git a/ingestion-data/datasets/emit-ch4plume-v1.json b/ingestion-data/datasets/emit-ch4plume-v1.json deleted file mode 100644 index 260af56..0000000 --- a/ingestion-data/datasets/emit-ch4plume-v1.json +++ /dev/null @@ -1,72 +0,0 @@ -{ - "collection": "emit-ch4plume-v1", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2022-08-10T00:00:00Z", - "enddate": "2024-04-23T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [], - "title": "EMIT Methane Point Source Plume Complexes v1", - "description": "This dataset provides methane plume complexes at 60 meter resolution measured with the EMIT instrument on the International Space Station (ISS) in units of parts per million meter (ppm-m). Due to its position on the ISS, EMIT does not sample everywhere on Earth nor can methane plumes be derived for all locations observed. By measuring the spectral fingerprint of methane, EMIT can map areas of high methane concentration over background levels in the atmosphere, identifying plume complexes, and estimating the methane enhancements. Large methane emissions, typically referred to as point source emissions, represent a significant proportion of total methane emissions from the production, transport, and processing of oil and natural gas, landfills, and other sources. Data is available starting August 1, 2022 and data collection is ongoing. The source data and additional information can be found at https://doi.org/10.5067/EMIT/EMITL2BCH4PLM.001", - "discovery_items": [ - { - "discovery": "s3" - } - ], - "is_periodic": false, - "license": "CC-BY-1.0", - "sample_files": [ - "" - ], - "providers": null, - "renders": { - "dashboard": { - "resampling": "bilinear", - "bidx": 1, - "assets": [ - "ch4-plume-emissions" - ], - "colormap_name": "plasma", - "rescale": [ - [ - 1, - 1500 - ] - ] - }, - "ch4-plume-emissions": { - "resampling": "bilinear", - "bidx": 1, - "assets": [ - "ch4-plume-emissions" - ], - "colormap_name": "plasma", - "rescale": [ - [ - 1, - 1500 - ] - ] - } - }, - "item_assets": { - "ch4-plume-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "EMIT Methane Point Source Plume Complexes", - "description": "Methane plume complexes from point source emitters." - } - }, - "assets": null, - "time_density": "day" -} diff --git a/ingestion-data/datasets/epa-ch4emission-yeargrid-v2express.json b/ingestion-data/datasets/epa-ch4emission-yeargrid-v2express.json deleted file mode 100644 index ef6c4e3..0000000 --- a/ingestion-data/datasets/epa-ch4emission-yeargrid-v2express.json +++ /dev/null @@ -1,1010 +0,0 @@ -{ - "collection": "epa-ch4emission-yeargrid-v2express", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2012-01-01T00:00:00Z", - "enddate": "2020-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "U.S. Gridded Anthropogenic Methane Emissions Inventory v2 Express Extension", - "description": "The gridded EPA U.S. anthropogenic methane greenhouse gas inventory (gridded GHGI) includes spatially disaggregated (0.1 deg x 0.1 deg or approximately 10 x 10 km resolution) maps of annual anthropogenic methane emissions for the contiguous United States (CONUS) from 2012 - 2020, consistent with national annual U.S. anthropogenic methane emissions reported in the U.S. EPA Inventory of U.S. Greenhouse Gas Emissions and Sinks (U.S. GHGI). This dataset contains methane emissions provided as fluxes, in units of megagrams of methane per square kilometer per year (Mg CH\u2084/km\u00b2/yr). It contains 34 data layers including a 'Total' layer with emissions fluxes from all anthropogenic sources of methane in the U.S. GHGI; 6 aggregate layers with emission fluxes from Agriculture, Natural Gas, Petroleum, Waste, Industry, and \u2018Other\u2019 source categories; and 27 layers representing methane emission fluxes from individual sector categories (i.e. the individual layers that make up each of the aggregate layers and the 'Total' layer). The data have been converted from their original NetCDF format to Cloud-Optimized GeoTIFF (COG) and scaled to Mg/km\u00b2/yr for use in the US GHG Center, thereby enabling user exploration of spatial anthropogenic methane emissions and their trends. 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}, - "manure-management": { - "title": "Agriculture - Manure Management (annual)", - "description": "Annual methane emissions from livestock manure management (inventory Agriculture category 3B).", - "regex": ".*emi_ch4_3B_Manure_Management.*.tif$" - }, - "rice-cultivation": { - "title": "Agriculture - Rice Cultivation (annual)", - "description": "Annual methane emissions from rice cultivation (inventory Agriculture category 3C).", - "regex": ".*emi_ch4_3C_Rice_Cultivation.*.tif$" - }, - "field-burning": { - "title": "Agriculture - Field Burning (annual)", - "description": "Annual methane emissions from field burning of agricultural residues (inventory Agriculture category 3F).", - "regex": ".*emi_ch4_3F_Field_Burning.*.tif$" - }, - "exploration-ngs": { - "title": "Natural Gas - Exploration (annual)", - "description": "Annual methane emissions from Natural Gas Exploration (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_Exploration.*.tif$" - }, - "production-ngs": { - "title": "Natural Gas - Production (annual)", - "description": "Annual methane emissions from Natural Gas Production (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_Production.*.tif$" - }, - "transmission-storage-ngs": { - "title": "Natural Gas - Transmission and Storage (annual)", - "description": "Annual methane emissions from Natural Gas Transmission and Storage (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_TransmissionStorage.*.tif$" - }, - "processing-ngs": { - "title": "Natural Gas - Processing (annual)", - "description": "Annual methane emissions from Natural Gas Processing (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_Processing.*.tif$" - }, - "distribution-ngs": { - "title": "Natural Gas - Distribution (annual)", - "description": "Annual methane emissions from Natural Gas Distribution (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_Distribution.*.tif$" - }, - "exploration-ps": { - "title": "Petroleum - Exploration (annual)", - "description": "Annual methane emissions from Petroleum Exploration (inventory Energy 1B2a sub-category).", - "regex": ".*emi_ch4_1B2a_Petroleum_Systems_Exploration.*.tif$" - }, - "production-ps": { - "title": "Petroleum - Production (annual)", - "description": "Annual methane emissions from Petroleum Production (inventory Energy 1B2a sub-category).", - "regex": ".*emi_ch4_1B2a_Petroleum_Systems_Production.*.tif$" - }, - "transport-ps": { - "title": "Petroleum - Transportation (annual)", - "description": "Annual methane emissions from Petroleum Transportation (inventory Energy 1B2a sub-category).", - "regex": ".*emi_ch4_1B2a_Petroleum_Systems_Transport.*.tif$" - }, - "refining-ps": { - "title": "Petroleum - Refining (annual)", - "description": "Annual methane emissions from Petroleum Refining (inventory Energy 1B2a sub-category).", - "regex": ".*emi_ch4_1B2a_Petroleum_Systems_Refining.*.tif$" - }, - "msw-landfill-waste": { - "title": "Waste - Municipal Solid Waste (MSW) Landfills (annual)", - "description": "Annual methane emissions from Municipal Solid Waste Landfills (inventory Waste 5A1 sub-category).", - "regex": ".*emi_ch4_5A1_Landfills_MSW.*.tif$" - }, - "industrial-landfill-waste": { - "title": "Waste - Industrial Landfills (annual)", - "description": "Annual methane emissions from Industrial Landfills (inventory Waste 5A1 sub-category).", - "regex": ".*emi_ch4_5A1_Landfills_Industrial.*.tif$" - }, - "dwtd-waste": { - "title": "Waste - Domestic Wastewater Treatment & Discharge (annual)", - "description": "Annual methane emissions from Domestic Wastewater Treatment and Discharge (inventory Waste 5D sub-category).", - "regex": ".*emi_ch4_5D_Wastewater_Treatment_Domestic.*.tif$" - }, - "iwtd-waste": { - "title": "Waste - Industrial Wastewater Treatment & Discharge (annual)", - "description": "Annual methane emissions from Industrial Wastewater Treatment and Discharge (inventory Waste 5D sub-category).", - "regex": ".*emi_ch4_5D_Wastewater_Treatment_Industrial.*.tif$" - }, - "composting-waste": { - "title": "Waste - Composting (annual)", - "description": "Annual methane emissions from Composting (inventory Waste category 5B1).", - "regex": ".*emi_ch4_5B1_Composting.*.tif$" - }, - "underground-coal": { - "title": "Coal Mining - Underground Mining (annual)", - "description": "Annual methane emissions from from active Underground Coal Mining (inventory Energy 1B1a sub-category).", - "regex": ".*emi_ch4_1B1a_Underground_Coal.*.tif$" - }, - "surface-coal": { - "title": "Coal Mining - Surface Mining (annual)", - "description": "Annual methane emissions from active Surface Coal Mining (inventory Energy 1B1a sub-category).", - "regex": ".*emi_ch4_1B1a_Surface_Coal.*.tif$" - }, - "abn-underground-coal": { - "title": "Coal Mining - Abandoned Underground Mines (annual)", - "description": "Annual methane emissions from Abandoned Underground Coal Mines (inventory Energy 1B1a sub-category).", - "regex": ".*emi_ch4_1B1a_Abandoned_Coal.*.tif$" - }, - "stationary-combustion-other": { - "title": "Other - Stationary Combustion (annual)", - "description": "Annual methane emissions from Stationary Combustion (inventory Energy 1A sub-category).", - "regex": ".*emi_ch4_1A_Combustion_Stationary.*.tif$" - }, - "mobile-combustion-other": { - "title": "Other - Mobile Combustion (annual)", - "description": "Annual methane emissions from Mobile Combustion (inventory Energy 1A sub-category).", - "regex": ".*emi_ch4_1A_Combustion_Mobile.*.tif$" - }, - "abn-ong-other": { - "title": "Other - Abandoned Oil and Gas Wells (annual)", - "description": "Annual methane emissions from Abandoned Oil and Gas Wells (inventory Energy 1B2a and 1B2b sub-categories).", - "regex": ".*emi_ch4_1B2ab_Abandoned_Oil_Gas.*.tif$" - }, - "petro-production-other": { - "title": "Other - Petrochemical Production (annual)", - "description": "Annual methane emissions from Petrochemical Production (inventory Industrial Processes and Product Use category 2B8).", - "regex": ".*emi_ch4_2B8_Industry_Petrochemical.*.tif$" - }, - "ferroalloy-production-other": { - "title": "Other - Ferroalloy Production (annual)", - "description": "Annual methane emissions from Ferroalloy Production (inventory Industrial Processes and Product Use category 2C2).", - "regex": ".*emi_ch4_2C2_Industry_Ferroalloy.*.tif$" - }, - "total-methane": { - "title": "Total Methane (annual)", - "description": "Total annual methane emission fluxes from all Agriculture, Energy, Waste, and \u2018Other\u2019 sources included in this dataset.", - "regex": ".*Express_Extension_all-variables.*.tif$" - }, - "total-agriculture": { - "title": "Total Agriculture (annual)", - "description": "Total annual methane emission fluxes from Agriculture sources (sum of inventory categories: Enteric Fermentation (3A), Manure Management (3B), Rice Cultivation (3C), Field Burning of Agricultural Residues (3F)).", - "regex": ".*Express_Extension_agriculture.*.tif$" - }, - "total-natural-gas-systems": { - "title": "Total Natural Gas Systems (annual)", - "description": "Total annual methane emission fluxes from Natural Gas Systems (sum of inventory Energy 1B2b sub-categories which includes Natural Gas Production, Transmission & Storage, Processing, Distribution and Exploration).", - "regex": ".*Express_Extension_natural-gas-systems.*.tif$" - }, - "total-petroleum-systems": { - "title": "Total Petroleum Systems (annual)", - "description": "Total annual methane emission fluxes from Petroleum Systems (sum of inventory Energy 1B2a sub-categories which includes Petroleum Production, Refining, Exploration and Transport).", - "regex": ".*Express_Extension_petroleum-systems.*.tif$" - }, - "total-waste": { - "title": "Total Waste (annual)", - "description": "Total annual methane emission fluxes from Waste (sum of inventory Waste categories: Municipal Solid Waste (MSW) and Industrial Landfills (5A1), Composting (5B1), Domestic and Industrial Wastewater Treatment and Discharge (5D)).", - "regex": ".*Express_Extension_waste.*.tif$" - }, - "total-other": { - "title": "Total Other (annual)", - "description": "Total annual methane emission fluxes from \u2018Other\u2019 remaining sources (sum of inventory categories 1A (Energy Combustion), 2B8 & 2C2 (Petrochemical & Ferroalloy Production) and 1B2a & 1B2b (Abandoned Oil & Gas Well Emissions)).", - 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], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "production-ngs": { - "assets": [ - "production-ngs" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "transmission-storage-ngs": { - "assets": [ - "transmission-storage-ngs" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "processing-ngs": { - "assets": [ - "processing-ngs" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "distribution-ngs": { - "assets": [ - "distribution-ngs" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "post-meter": { - "assets": [ - "post-meter" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "total-petroleum-systems": { - 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}, - "underground-coal": { - "assets": [ - "underground-coal" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "abn-underground-coal": { - "assets": [ - "abn-underground-coal" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "surface-coal": { - "assets": [ - "surface-coal" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "total-other": { - "assets": [ - "total-other" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "stationary-combustion-other": { - "assets": [ - "stationary-combustion-other" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "mobile-combustion-other": { - "assets": [ - "mobile-combustion-other" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "abn-ong-other": { - "assets": [ - "abn-ong-other" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "petro-production-other": { - "assets": [ - "petro-production-other" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ], - "minzoom": 0, - "maxzoom": 5 - }, - "ferroalloy-production-other": { - "assets": [ - "ferroalloy-production-other" - ], - "colormap_name": "epa-ghgi-ch4", - "rescale": [ - [ - 0, - 20 - ] - ] - } - }, - "item_assets": { - "post-meter": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Natural Gas - Post Meter (annual)", - "description": "Annual methane emissions downstream of residential, commercial, industrial natural gas distribution meters (i.e., \u201cPost Meter\u201d) (inventory Energy 1B2b sub-category)." - }, - "enteric-fermentation": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Agriculture - Enteric Fermentation (annual)", - "description": "Annual methane emissions from enteric fermentation which is methane emitted as a by-product of the normal livestock digestive process (inventory Agriculture category 3A)." - }, - "manure-management": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Agriculture - Manure Management (annual)", - "description": "Annual methane emissions from livestock manure management (inventory Agriculture category 3B)." - }, - "rice-cultivation": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Agriculture - Rice Cultivation (annual)", - "description": "Annual methane emissions from rice cultivation (inventory Agriculture category 3C)." - }, - "field-burning": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Agriculture - Field Burning (annual)", - "description": "Annual methane emissions from field burning of agricultural residues (inventory Agriculture category 3F)." - }, - "exploration-ngs": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Natural Gas - Exploration (annual)", - "description": "Annual methane emissions from Natural Gas Exploration (inventory Energy 1B2b sub-category)." - }, - "production-ngs": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Natural Gas - Production (annual)", - "description": "Annual methane emissions from Natural Gas Production (inventory Energy 1B2b sub-category)." - }, - "transmission-storage-ngs": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Natural Gas - Transmission and Storage (annual)", - "description": "Annual methane emissions from Natural Gas Transmission and Storage (inventory Energy 1B2b sub-category)." - }, - "processing-ngs": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Natural Gas - Processing (annual)", - "description": "Annual methane emissions from Natural Gas Processing (inventory Energy 1B2b sub-category)." - }, - "distribution-ngs": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Natural Gas - Distribution (annual)", - "description": "Annual methane emissions from Natural Gas Distribution (inventory Energy 1B2b sub-category)." - }, - "exploration-ps": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Petroleum - Exploration (annual)", - "description": "Annual methane emissions from Petroleum Exploration (inventory Energy 1B2a sub-category)." - }, - "production-ps": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Petroleum - Production (annual)", - "description": "Annual methane emissions from Petroleum Production (inventory Energy 1B2a sub-category)." - }, - "transport-ps": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Petroleum - Transportation (annual)", - "description": "Annual methane emissions from Petroleum Transportation (inventory Energy 1B2a sub-category)." - }, - "refining-ps": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Petroleum - Refining (annual)", - "description": "Annual methane emissions from Petroleum Refining (inventory Energy 1B2a sub-category)." - }, - "msw-landfill-waste": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Waste - Municipal Solid Waste (MSW) Landfills (annual)", - "description": "Annual methane emissions from Municipal Solid Waste Landfills (inventory Waste 5A1 sub-category)." - }, - "industrial-landfill-waste": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Waste - Industrial Landfills (annual)", - "description": "Annual methane emissions from Industrial Landfills (inventory Waste 5A1 sub-category)." - }, - "dwtd-waste": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Waste - Domestic Wastewater Treatment & Discharge (annual)", - "description": "Annual methane emissions from Domestic Wastewater Treatment and Discharge (inventory Waste 5D sub-category)." - }, - "iwtd-waste": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Waste - Industrial Wastewater Treatment & Discharge (annual)", - "description": "Annual methane emissions from Industrial Wastewater Treatment and Discharge (inventory Waste 5D sub-category)." - }, - "composting-waste": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Waste - Composting (annual)", - "description": "Annual methane emissions from Composting (inventory Waste category 5B1)." - }, - "underground-coal": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Coal Mining - Underground Mining (annual)", - "description": "Annual methane emissions from active Underground Coal Mining (inventory Energy 1B1a sub-category)." - }, - "surface-coal": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Coal Mining - Surface Mining (annual)", - "description": "Annual methane emissions from active Surface Coal Mining (inventory Energy 1B1a sub-category)." - }, - "abn-underground-coal": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Coal Mining - Abandoned Underground Mines (annual)", - "description": "Annual methane emissions from Abandoned Underground Coal Mines (inventory Energy 1B1a sub-category)." - }, - "stationary-combustion-other": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Other - Stationary Combustion (annual)", - "description": "Annual methane emissions from Stationary Combustion (inventory Energy 1A sub-category)." - }, - "mobile-combustion-other": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Other - Mobile Combustion (annual)", - "description": "Annual methane emissions from Mobile Combustion (inventory Energy 1A sub-category)." - }, - "abn-ong-other": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Other - Abandoned Oil and Gas Wells (annual)", - "description": "Annual methane emissions from Abandoned Oil and Gas Wells (inventory Energy 1B2a and 1B2b sub-categories)." - }, - "petro-production-other": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Other - Petrochemical Production (annual)", - "description": "Annual methane emissions from Petrochemical Production (inventory Industrial Processes and Product Use category 2B8)." - }, - "ferroalloy-production-other": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Other - Ferroalloy Production (annual)", - "description": "Annual methane emissions from Ferroalloy Production (inventory Industrial Processes and Product Use category 2C2)." - }, - "total-methane": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total Methane (annual)", - "description": "Total annual methane emission fluxes from all Agriculture, Energy, Waste, and \u2018Other\u2019 sources included in this dataset." - }, - "total-agriculture": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total Agriculture (annual)", - "description": "Total annual methane emission fluxes from Agriculture sources (sum of inventory categories: Enteric Fermentation (3A), Manure Management (3B), Rice Cultivation (3C), Field Burning of Agricultural Residues (3F))." - }, - "total-natural-gas-systems": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total Natural Gas Systems (annual)", - "description": "Total annual methane emission fluxes from Natural Gas Systems (sum of inventory Energy 1B2b sub-categories which includes Natural Gas Production, Transmission & Storage, Processing, Distribution and Exploration)." - }, - "total-petroleum-systems": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total Petroleum Systems (annual)", - "description": "Total annual methane emission fluxes from Petroleum Systems (sum of inventory Energy 1B2a sub-categories which includes Petroleum Production, Refining, Exploration and Transport)." - }, - "total-waste": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total Waste (annual)", - "description": "Total annual methane emission fluxes from Waste (sum of inventory Waste categories: Municipal Solid Waste (MSW) and Industrial Landfills (5A1), Composting (5B1), Domestic and Industrial Wastewater Treatment and Discharge (5D))." - }, - "total-other": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total Other (annual)", - "description": "Total annual methane emission fluxes from \u2018Other\u2019 remaining sources (sum of inventory categories 1A (Energy Combustion), 2B8 & 2C2 (Petrochemical & Ferroalloy Production) and 1B2a & 1B2b (Abandoned Oil & Gas Well Emissions))." - }, - "total-coal-mines": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total Coal Mines (annual)", - "description": "Total annual methane emission fluxes from Coal Mines (sum of inventory 1B1a sub-categories which includes Underground Coal Mining, Surface Coal Mining and Abandoned Underground Coal Mines)." - } - }, - "assets": {}, - "time_density": "year" -} diff --git a/ingestion-data/datasets/gosat-based-ch4budget-yeargrid-v1.json b/ingestion-data/datasets/gosat-based-ch4budget-yeargrid-v1.json deleted file mode 100644 index 95fd7ee..0000000 --- a/ingestion-data/datasets/gosat-based-ch4budget-yeargrid-v1.json +++ /dev/null @@ -1,214 +0,0 @@ -{ - "collection": "gosat-based-ch4budget-yeargrid-v1", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2019-01-01T00:00:00Z", - "enddate": "2019-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "GOSAT-based Top-down Total and Natural Methane Emissions v1", - "description": "As part of the global stock take (GST), countries are asked to provide a record of their greenhouse gas (GHG) emissions to inform decisions on how to reduce GHG emissions. The NASA Carbon Monitoring System Flux (CMS-Flux) team has used remote sensing observations from Japan's Greenhouse gases Observing SATellite (GOSAT) to produce modeled total methane (CH\u2084) emissions and uncertainties on a 1 degree by 1 degree resolution grid for the year 2019. The GOSAT data is used in the model to inform total emission estimates, as well as wetland (the primary natural source of methane), and various human-related sources such as fossil fuel extraction, transport, agriculture, waste, and fires. A prior GHG emission estimate (and assocated uncertainty) is provided for each layer, which is the emissions estimate without GOSAT data. The posterior GHG emission layers are informed by GOSAT total column methane data. An advanced mathematical approach is used with a global chemistry transport model to quantify annual CH\u2084 emissions and uncertainties. These estimates are expressed in teragrams of CH\u2084 per year (Tg/yr). The source data can be found at https://doi.org/10.5281/zenodo.8306874 and more information can also be found on the CEOS website https://ceos.org/gst/methane.html", - "discovery_items": [ - { - "discovery": "s3", - "collection": "gosat-based-ch4budget-yeargrid-v1", - "bucket": "ghgc-data-store-develop", - "prefix": "gosat-based-ch4budget-yeargrid-v1/", - "filename_regex": ".*Emissions_GOSAT.*.tif$", - "assets": { - "post-total": { - "title": "Posterior Total Methane Emissions", - "description": "Estimated total methane emissions per grid cell informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_total.*.tif$" - }, - "prior-total": { - "title": "Prior Total Methane Emissions", - "description": "Total methane emissions per grid cell estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_total.*.tif$" - }, - "post-wetland-uncertainty": { - "title": "Uncertainty - Wetland Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from wetlands informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_wetland.*.tif$" - }, - "post-wetland": { - "title": "Wetland Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from wetlands informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_wetland.*.tif$" - }, - "prior-wetland-uncertainty": { - "title": "Uncertainty - Wetland Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from wetlands estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_wetland.*.tif$" - }, - "prior-wetland": { - "title": "Wetland Prior Methane Emissions", - "description": "Methane emissions per grid cell from wetlands estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_wetland.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "gosat-based-ch4budget-yeargrid-v1-{}" - } - ], - "is_periodic": false, - "license": "CC-BY-4.0", - "sample_files": [ - "" - ], - "providers": [], - "renders": { - "dashboard": { - "assets": [ - "post-total" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 0.3 - ] - ] - }, - "prior-total": { - "assets": [ - "prior-total" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 0.3 - ] - ] - }, - "post-total": { - "assets": [ - "post-total" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 0.3 - ] - ] - }, - "prior-wetland": { - "assets": [ - "prior-wetland" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 0.1 - ] - ] - }, - "post-wetland": { - "assets": [ - "post-wetland" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 0.1 - ] - ] - }, - "prior-wetland-uncertainty": { - "assets": [ - "prior-wetland-uncertainty" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 0.05 - ] - ] - }, - "post-wetland-uncertainty": { - "assets": [ - "post-wetland-uncertainty" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 0.05 - ] - ] - } - }, - "item_assets": { - "post-total": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Posterior Total Methane Emissions", - "description": "Estimated total methane emissions per grid cell informed by GOSAT satellite total column methane data." - }, - "prior-total": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Prior Total Methane Emissions", - "description": "Total methane emissions per grid cell estimated by various inventories or models, excluding satellite based observations from GOSAT." - }, - "post-wetland": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Wetland Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from wetlands informed by GOSAT satellite total column methane data." - }, - "post-wetland-uncertainty": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Uncertainty - Wetland Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from wetlands informed by GOSAT satellite total column methane data." - }, - "prior-wetland": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Wetland Prior Methane Emissions", - "description": "Methane emissions per grid cell from wetlands estimated by various inventories or models, excluding satellite based observations from GOSAT." - }, - "prior-wetland-uncertainty": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Uncertainty - Wetland Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from wetlands estimated by various inventories or models, excluding satellite based observations from GOSAT." - } - }, - "assets": {}, - "time_density": "year" -} diff --git a/ingestion-data/datasets/gra2pes-ghg-monthgrid-v1.json b/ingestion-data/datasets/gra2pes-ghg-monthgrid-v1.json deleted file mode 100644 index 217da4c..0000000 --- a/ingestion-data/datasets/gra2pes-ghg-monthgrid-v1.json +++ /dev/null @@ -1,186 +0,0 @@ -{ - "collection": "gra2pes-ghg-monthgrid-v1", - "data_type": "cog", - "spatial_extent": { - "xmin": -128.22655, - "ymin": 47.89015278, - "xmax": -65.30824167, - "ymax": 22.85824167 - }, - "temporal_extent": { - "startdate": "2021-01-01T00:00:00Z", - "enddate": "2021-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "Greenhouse Gas And Air Pollutants Emissions System (GRA2PES)", - "description": "Derived from wrfchem_d01 files. Totaled in Z space; native 12-hour (00z and 12z) files averaged to get mean daily emissions; weighted average calculated using weekdy, sundy, satdy to produce average emissions rates for given month. Regridded from native LCC projection and 4000m resolution to EPSG 4326.", - "discovery_items": [ - { - "discovery": "s3", - "collection": "gra2pes-ghg-monthgrid-v1", - "bucket": "ghgc-data-store-develop", - "prefix": "transformed_cogs/GRA2PES/", - "filename_regex": ".*GRA2PESv1.0_total.*.tif$", - "datetime_range": "month", - "assets": { - "co2": { - "title": "CO\u2082 Emissions", - "description": "Estimated total CO\u2082 emissions.", - "regex": ".*GRA2PESv1.0_total_CO2_.*.tif$" - }, - "co": { - "title": "CO Emissions", - "description": "Estimated total CO emissions.", - "regex": ".*GRA2PESv1.0_total_CO_.*.tif$" - }, - "nox": { - "title": "Estimated NOx Emissions", - "description": "Estimated total NOx emissions.", - "regex": ".*GRA2PESv1.0_total_NOX_.*.tif$" - }, - "pm25": { - "title": "Estimated PM2.5 Emissions", - "description": "Estimated total PM2.5.", - "regex": ".*GRA2PESv1.0_total_PM25-PRI_.*.tif$" - }, - "so2": { - "title": "Estimated so\u2082 Emissions", - "description": "Estimated total SO\u2082 emissions.", - "regex": ".*GRA2PESv1.0_total_SO2_.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "gra2pes-ghg-monthgrid-v1-{}" - } - ], - "is_periodic": true, - "license": "CC-BY-NC-4.0", - "sample_files": [ - "" - ], - "providers": [ - { - "url": "Colin.harkins@noaa.gov", - "name": "Colin Harkins", - "roles": [ - "producer", - "licensor" - ] - } - ], - "renders": { - "dashboard": { - "assets": [ - "co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 100 - ] - ] - }, - "co": { - "assets": [ - "co" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 2 - ] - ] - }, - "nox": { - "assets": [ - "nox" - ], - "colormap_name": "greens", - "rescale": [ - [ - 0, - 2 - ] - ] - }, - "so2": { - "assets": [ - "so2" - ], - "colormap_name": "blues", - "rescale": [ - [ - 0, - 0.5 - ] - ] - }, - "pm25": { - "assets": [ - "pm25" - ], - "colormap_name": "purples", - "rescale": [ - [ - 0, - 0.2 - ] - ] - } - }, - "item_assets": { - "co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "CO\u2082 Emissions", - "description": "Estimated total CO\u2082 emissions." - }, - "co": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "CO Emissions", - "description": "Estimated total CO emissions." - }, - "nox": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Estimated NOx Emissions", - "description": "Estimated total NOx emissions." - }, - "so2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Estimated SO\u2082 Emissions", - "description": "Estimated total SO\u2082 emissions." - }, - "pm25": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Estimated PM2.5", - "description": "Estimated total PM2.5." - } - }, - "assets": {}, - "time_density": "month" -} diff --git a/ingestion-data/datasets/lpjeosim-wetlandch4-daygrid-v2.json b/ingestion-data/datasets/lpjeosim-wetlandch4-daygrid-v2.json deleted file mode 100644 index adc3f69..0000000 --- a/ingestion-data/datasets/lpjeosim-wetlandch4-daygrid-v2.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "collection": "lpjeosim-wetlandch4-daygrid-v2", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "1990-01-01T00:00:00Z", - "enddate": "2024-02-27T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "(Daily) Wetland Methane Emissions, LPJ-EOSIM Model v2", - "description": "Global, daily estimates of methane (CH\u2084) emissions from terrestrial wetlands at 0.5 x 0.5 degree spatial resolution using the Earth Observation SIMulator version (LPJ-EOSIM) of the Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM). Methane emissions from vegetated wetlands are estimated to be the largest natural source of methane in the global CH\u2084 budget, contributing to roughly one third of the total of natural and anthropogenic emissions. Wetland CH\u2084 is produced by microbes breaking down organic matter in the oxygen deprived environment of inundated soils. Due to limited data availability, the details of the role of wetland CH\u2084 emissions have thus far been underrepresented. The LPJ-EOSIM model estimates wetland methane emissions by simulating wetland extent and using characteristics of these inundated areas such as soil moisture, temperature, and carbon content to estimate CH\u2084 quantities emitted into the atmosphere. Input climate forcing data comes from Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data and ECMWF Re-Analysis data (ERA5). An ensemble layer provides the result of the mean of the MERRA-2 and ERA5 layers. The source data can be found at https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_DCH4E.001 and https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_DCH4E_LL.001.", - "discovery_items": [ - { - "discovery": "s3" - } - ], - "is_periodic": true, - "license": "CC0-1.0", - "sample_files": [ - "" - ], - "providers": [ - { - "name": "NASA" - } - ], - "renders": { - "dashboard": { - "assets": [ - "ensemble-mean-ch4-wetlands-emissions" - ], - "colormap_name": "magma", - "rescale": [ - [ - 0, - 3e-09 - ] - ] - }, - "ensemble-mean-ch4-wetlands-emissions": { - "assets": [ - "ensemble-mean-ch4-wetlands-emissions" - ], - "colormap_name": "magma", - "rescale": [ - [ - 0, - 3e-09 - ] - ] - }, - "era5-ch4-wetlands-emissions": { - "assets": [ - "era5-ch4-wetlands-emissions" - ], - "colormap_name": "magma", - "rescale": [ - [ - 0, - 3e-09 - ] - ] - }, - "merra2-ch4-wetlands-emissions": { - "assets": [ - "merra2-ch4-wetlands-emissions" - ], - "colormap_name": "magma", - "rescale": [ - [ - 0, - 3e-09 - ] - ] - } - }, - "item_assets": { - "ensemble-mean-ch4-wetlands-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "(Daily) Wetland Methane Emissions, Ensemble Mean LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of kilograms of methane per meter squared per second. Ensemble of multiple climate forcing data sources input to LPJ-EOSIM model." - }, - "era5-ch4-wetlands-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "(Daily) Wetland Methane Emissions, ERA5 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of kilograms of methane per meter squared per second. ECMWF Re-Analysis (ERA5) as input to LPJ-EOSIM model." - }, - "merra2-ch4-wetlands-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "(Daily) Wetland Methane Emissions, MERRA-2 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of kilograms of methane per meter squared per second. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as input to LPJ-EOSIM model." - } - }, - "assets": {}, - "time_density": "day" -} diff --git a/ingestion-data/datasets/lpjeosim-wetlandch4-monthgrid-v2.json b/ingestion-data/datasets/lpjeosim-wetlandch4-monthgrid-v2.json deleted file mode 100644 index b26ad86..0000000 --- a/ingestion-data/datasets/lpjeosim-wetlandch4-monthgrid-v2.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "collection": "lpjeosim-wetlandch4-monthgrid-v2", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "1990-01-01T00:00:00Z", - "enddate": "2024-02-27T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "(Monthly) Wetland Methane Emissions, LPJ-EOSIM Model v2", - "description": "Global, monthly estimates of methane (CH\u2084) emissions from terrestrial wetlands at 0.5 x 0.5 degree spatial resolution using the Earth Observation SIMulator version (LPJ-EOSIM) of the Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM). Methane emissions from vegetated wetlands are estimated to be the largest natural source of methane in the global CH\u2084 budget, contributing to roughly one third of the total of natural and anthropogenic emissions. Wetland CH\u2084 is produced by microbes breaking down organic matter in the oxygen deprived environment of inundated soils. Due to limited data availability, the details of the role of wetland CH\u2084 emissions have thus far been underrepresented. The LPJ-EOSIM model estimates wetland methane emissions by simulating wetland extent and using characteristics of these inundated areas such as soil moisture, temperature, and carbon content to estimate CH\u2084 quantities emitted into the atmosphere. Input climate forcing data comes from Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data and ECMWF Re-Analysis data (ERA5). An ensemble layer provides the result of the mean of the MERRA-2 and ERA5 layers. The source data can be found at https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E.001 and https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E_LL.001.", - "discovery_items": [ - { - "discovery": "s3" - } - ], - "is_periodic": true, - "license": "CC0-1.0", - "sample_files": [ - "" - ], - "providers": [ - { - "name": "NASA" - } - ], - "renders": { - "dashboard": { - "assets": [ - "ensemble-mean-ch4-wetlands-emissions" - ], - "colormap_name": "magma", - "rescale": [ - [ - 0, - 3e-09 - ] - ] - }, - "ensemble-mean-ch4-wetlands-emissions": { - "assets": [ - "ensemble-mean-ch4-wetlands-emissions" - ], - "colormap_name": "magma", - "rescale": [ - [ - 0, - 3e-09 - ] - ] - }, - "era5-ch4-wetlands-emissions": { - "assets": [ - "era5-ch4-wetlands-emissions" - ], - "colormap_name": "magma", - "rescale": [ - [ - 0, - 3e-09 - ] - ] - }, - "merra2-ch4-wetlands-emissions": { - "assets": [ - "merra2-ch4-wetlands-emissions" - ], - "colormap_name": "magma", - "rescale": [ - [ - 0, - 3e-09 - ] - ] - } - }, - "item_assets": { - "ensemble-mean-ch4-wetlands-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "(Monthly) Wetland Methane Emissions, Ensemble Mean LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of kilograms of methane per meter squared per second. Ensemble of multiple climate forcing data sources input to LPJ-EOSIM model." - }, - "era5-ch4-wetlands-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "(Monthly) Wetland Methane Emissions, ERA5 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of kilograms of methane per meter squared per second. ECMWF Re-Analysis (ERA5) as input to LPJ-EOSIM model." - }, - "merra2-ch4-wetlands-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "(Monthly) Wetland Methane Emissions, MERRA-2 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of kilograms of methane per meter squared per second. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as input to LPJ-EOSIM model." - } - }, - "assets": {}, - "time_density": "month" -} diff --git a/ingestion-data/datasets/micasa-carbonflux-daygrid-v1.json b/ingestion-data/datasets/micasa-carbonflux-daygrid-v1.json deleted file mode 100644 index 062cb63..0000000 --- a/ingestion-data/datasets/micasa-carbonflux-daygrid-v1.json +++ /dev/null @@ -1,244 +0,0 @@ -{ - "collection": "micasa-carbonflux-daygrid-v1", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2001-01-01T00:00:00Z", - "enddate": "2023-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "(Daily) MiCASA Land Carbon Flux v1", - "description": "This product provides estimated daily carbon flux to the atmosphere from net primary production (NPP), heterotrophic respiration (Rh), wildfire emissions (FIRE), fuel wood burning emissions (FUEL), net ecosystem exchange (NEE), and net biosphere exchange (NBE) derived from the M\u00e1s Informada Carnegie-Ames-Stanford-Approach (MiCASA) model. All model calculations are driven by analyzed meteorological data from NASA's Modern-Era Retrospective analysis for Research and Application, Version 2 (MERRA-2). The resulting product provides global, daily data at 0.1 degree resolution starting from January 2001. The carbon flux variables are expressed in units of kilograms of carbon per square meter per day. MiCASA is an extensive revision of the CASA \u2013 Global Fire Emissions Database, version 3 (CASA-GFED3) product. CASA-GFED3 and earlier versions of MERRA-driven CASA-GFED carbon fluxes have been used in several atmospheric carbon dioxide (CO\u2082) transport studies, serve as a community standard for priors of flux inversion systems, and through the support of NASA's Carbon Monitoring System (CMS), help characterize, quantify, understand and predict the evolution of global carbon sources and sinks.", - "discovery_items": [ - { - "discovery": "s3", - "collection": "micasa-carbonflux-daygrid-v1", - "bucket": "ghgc-data-store-develop", - "prefix": "micasa-carbonflux-daygrid-v1/", - "filename_regex": ".*MiCASA_v1.*.tif$", - "assets": { - "npp": { - "title": "Net Primary Production (NPP), MiCASA Model v1", - "description": "Net Primary Production (carbon available from plants) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_NPP_.*daily.*.tif$" - }, - "rh": { - "title": "Heterotrophic respiration (Rh), MiCASA Model v1", - "description": "Heterotrophic respiration (carbon flux from the soil to the atmosphere) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_Rh_.*daily.*.tif$" - }, - "nee": { - "title": "Net Ecosystem Exchange (NEE), MiCASA Model v1", - "description": "Net Ecosystem Exchange (net carbon flux to the atmosphere) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_NEE_.*daily.*.tif$" - }, - "fire": { - "title": "Fire emissions (FIRE), MiCASA Model v1", - "description": "Fire emissions (flux of carbon to the atmosphere from wildfires) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_FIRE.*daily.*.tif$" - }, - "fuel": { - "title": "Wood fuel emissions (FUEL), MiCASA Model v1", - "description": "Wood fuel emissions (flux of carbon to the atmosphere from wood burned for fuel) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_FUEL_.*daily.*.tif$" - }, - "nbe": { - "title": "Net Biosphere Exchange (NBE), MiCASA Model v1", - "description": "Net Biosphere Exchange (net carbon flux from the ecosystem) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_NBE_.*daily.*.tif$" - }, - "atmc": { - "title": "Atmospheric Correction (ATMC), MiCASA Model v1", - "description": "A correction to account for long-term historical changes in the uptake of CO\u2082 from the atmosphere to the biosphere in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_ATMC_.*daily.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "micasa-carbonflux-daygrid-v1-{}" - } - ], - "is_periodic": true, - "license": "CC0-1.0", - "sample_files": [ - "" - ], - "providers": [ - { - "name": "NASA" - } - ], - "renders": { - "dashboard": { - "assets": [ - "npp" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "nbe": { - "assets": [ - "nbe" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "npp": { - "assets": [ - "npp" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "rh": { - "assets": [ - "rh" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "nee": { - "assets": [ - "nee" - ], - "colormap_name": "coolwarm", - "rescale": [ - [ - -4, - 4 - ] - ] - }, - "fire": { - "assets": [ - "fire" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "fuel": { - "assets": [ - "fuel" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 0.5 - ] - ] - }, - "atmc": { - "assets": [ - "atmc" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - } - }, - "item_assets": { - "npp": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Net Primary Production (NPP), MiCASA Model v1", - "description": "Net Primary Production (carbon available from plants) in units of grams of carbon per square meter per day." - }, - "rh": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Heterotrophic respiration (Rh), MiCASA Model v1", - "description": "Heterotrophic respiration (carbon flux from the soil to the atmosphere) in units of grams of carbon per square meter per day." - }, - "nee": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Net Ecosystem Exchange (NEE), MiCASA Model v1", - "description": "Net Ecosystem Exchange (net carbon flux to the atmosphere) in units of grams of carbon per square meter per day." - }, - "fire": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Fire emissions (FIRE), MiCASA Model v1", - "description": "Fire emissions (flux of carbon to the atmosphere from wildfires) in units of grams of carbon per square meter per day." - }, - "fuel": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Wood fuel emissions (FUEL), MiCASA Model v1", - "description": "Wood fuel emissions (flux of carbon to the atmosphere from wood burned for fuel) in units of grams of carbon per square meter per day." - }, - "nbe": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Net Biosphere Exchange (net carbon flux from the ecosystem), MiCASA Model v1", - "description": "Net Biosphere Exchange (net carbon flux from the ecosystem) in units of grams of carbon per square meter per day." - }, - "atmc": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Atmospheric Correction (ATMC), MiCASA Model v1", - "description": "A correction to account for long-term historical changes in the uptake of CO\u2082 from the atmosphere to the biosphere in units of grams of carbon per square meter per day." - } - }, - "assets": {}, - "time_density": "day" -} diff --git a/ingestion-data/datasets/micasa-carbonflux-monthgrid-v1.json b/ingestion-data/datasets/micasa-carbonflux-monthgrid-v1.json deleted file mode 100644 index f46b882..0000000 --- a/ingestion-data/datasets/micasa-carbonflux-monthgrid-v1.json +++ /dev/null @@ -1,245 +0,0 @@ -{ - "collection": "micasa-carbonflux-monthgrid-v1", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2001-01-01T00:00:00Z", - "enddate": "2023-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "(Monthly Mean) MiCASA Land Carbon Flux v1", - "description": "This product provides monthly mean carbon flux to the atmosphere from net primary production (NPP), heterotrophic respiration (Rh), wildfire emissions (FIRE), fuel wood burning emissions (FUEL), net ecosystem exchange (NEE), and net biosphere exchange (NBE) derived from the M\u00e1s Informada Carnegie-Ames-Stanford-Approach (MiCASA) model. All model calculations are driven by analyzed meteorological data from NASA's Modern-Era Retrospective analysis for Research and Application, Version 2 (MERRA-2). The resulting product provides global, monthly mean data at 0.1 degree resolution starting from January 2001. The carbon flux variables are expressed in units of kilograms of carbon per square meter per day. Monthly mean layers are computed by taking the mean carbon flux of all days in the month. MiCASA is an extensive revision of the CASA \u2013 Global Fire Emissions Database, version 3 (CASA-GFED3) product. CASA-GFED3 and earlier versions of MERRA-driven CASA-GFED carbon fluxes have been used in several atmospheric carbon dioxide (CO\u2082) transport studies, serve as a community standard for priors of flux inversion systems, and through the support of NASA's Carbon Monitoring System (CMS), help characterize, quantify, understand and predict the evolution of global carbon sources and sinks.", - "discovery_items": [ - { - "discovery": "s3", - "collection": "micasa-carbonflux-monthgrid-v1", - "bucket": "ghgc-data-store-develop", - "prefix": "micasa-carbonflux-monthgrid-v1/", - "filename_regex": ".*MiCASA_v1.*.tif$", - "datetime_range": "month", - "assets": { - "npp": { - "title": "Net Primary Production (NPP), MiCASA Model v1", - "description": "Net Primary Production (carbon available from plants) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_NPP_.*monthly.*.tif$" - }, - "rh": { - "title": "Heterotrophic respiration (Rh), MiCASA Model v1", - "description": "Heterotrophic respiration (carbon flux from the soil to the atmosphere) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_Rh_.*monthly.*.tif$" - }, - "nee": { - "title": "Net Ecosystem Exchange (NEE), MiCASA Model v1", - "description": "Net Ecosystem Exchange (net carbon flux to the atmosphere) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_NEE_.*monthly.*.tif$" - }, - "fire": { - "title": "Fire emissions (FIRE), MiCASA Model v1", - "description": "Fire emissions (flux of carbon to the atmosphere from wildfires) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_FIRE.*monthly.*.tif$" - }, - "fuel": { - "title": "Wood fuel emissions (FUEL), MiCASA Model v1", - "description": "Wood fuel emissions (flux of carbon to the atmosphere from wood burned for fuel) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_FUEL_.*monthly.*.tif$" - }, - "nbe": { - "title": "Net Biosphere Exchange (NBE), MiCASA Model v1", - "description": "Net Biosphere Exchange (net carbon flux from the ecosystem) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_NBE_.*monthly.*.tif$" - }, - "atmc": { - "title": "Atmospheric Correction (ATMC), MiCASA Model v1", - "description": "A correction to account for long-term historical changes in the uptake of CO\u2082 from the atmosphere to the biosphere in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_ATMC_.*monthly.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "micasa-carbonflux-monthgrid-v1-{}" - } - ], - "is_periodic": true, - "license": "CC0-1.0", - "sample_files": [ - "" - ], - "providers": [ - { - "name": "NASA" - } - ], - "renders": { - "dashboard": { - "assets": [ - "npp" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "nbe": { - "assets": [ - "nbe" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "npp": { - "assets": [ - "npp" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "rh": { - "assets": [ - "rh" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "nee": { - "assets": [ - "nee" - ], - "colormap_name": "coolwarm", - "rescale": [ - [ - -4, - 4 - ] - ] - }, - "fire": { - "assets": [ - "fire" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - }, - "fuel": { - "assets": [ - "fuel" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 0.5 - ] - ] - }, - "atmc": { - "assets": [ - "atmc" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0, - 8 - ] - ] - } - }, - "item_assets": { - "npp": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Net Primary Production (NPP), MiCASA Model v1", - "description": "Net Primary Production (carbon available from plants) in units of grams of carbon per square meter per day (monthly mean)." - }, - "rh": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Heterotrophic respiration (Rh), MiCASA Model v1", - "description": "Heterotrophic respiration (carbon flux from the soil to the atmosphere) in units of grams of carbon per square meter per day (monthly mean)." - }, - "nee": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Net Ecosystem Exchange (NEE), MiCASA Model v1", - "description": "Net Ecosystem Exchange (net carbon flux to the atmosphere) in units of grams of carbon per square meter per day (monthly mean)." - }, - "fire": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Fire emissions (FIRE), MiCASA Model v1", - "description": "Fire emissions (flux of carbon to the atmosphere from wildfires) in units of grams of carbon per square meter per day (monthly mean)." - }, - "fuel": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Wood fuel emissions (FUEL), MiCASA Model v1", - "description": "Wood fuel emissions (flux of carbon to the atmosphere from wood burned for fuel) in units of grams of carbon per square meter per day (monthly mean)." - }, - "nbe": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Net Biosphere Exchange (NBE), MiCASA Model v1", - "description": "Net Biosphere Exchange (net carbon flux from the ecosystem) in units of grams of carbon per square meter per day (monthly mean)." - }, - "atmc": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Atmospheric Correction (ATMC), MiCASA Model v1", - "description": "A correction to account for long-term historical changes in the uptake of CO\u2082 from the atmosphere to the biosphere in units of grams of carbon per square meter per day (monthly mean)." - } - }, - "assets": {}, - "time_density": "month" -} diff --git a/ingestion-data/datasets/oco2-mip-co2budget-yeargrid-v1.json b/ingestion-data/datasets/oco2-mip-co2budget-yeargrid-v1.json deleted file mode 100644 index 2a1d9f4..0000000 --- a/ingestion-data/datasets/oco2-mip-co2budget-yeargrid-v1.json +++ /dev/null @@ -1,674 +0,0 @@ -{ - "collection": "oco2-mip-co2budget-yeargrid-v1", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2015-01-01T00:00:00Z", - "enddate": "2020-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "OCO-2 MIP Top-down CO\u2082 Budgets v1", - "description": "This dataset contains top-down annual net land-atmosphere fluxes of CO\u2082 on a 1-degree grid for a six-year period (2015-2020) from an ensamble of atmospheric CO\u2082 inversions, as well as annual bottom-up estimates of fossil fuel emissions and lateral carbon fluxes due to crop trade, wood trade, river export and cement production. Annual changes (loss) in terrestrial carbon stocks are obtained by combining top-down and bottom-up estimates. The standard deviation for each variable is provided (std). IS layers assimilates in situ CO\u2082 mole fraction measurements from an international observational network. LNLG layers assimilates CO\u2082 measurements from the ACOS v10 algorithm which uses land nadir and land glint total column dry-air mole fractions observed by the OCO-2 satellite. LNLGIS layers assimilates both in situ and ACOS v10 OCO-2 land nadir and glint retrievals together. OG layers assimilates CO\u2082 measurements from the ACOS v10 algorithm using OCO-2 ocean glint retrievals. LNLGOGIS assimilates all sources together (in situ (IS), OCO-2 ACOS v10 land nadir and land glint (LNLG), OCO-2 ACOS v10 ocean glint (OG)). Data is provided in units of grams of carbon dioxide per square meter per year (g CO\u2082/m2/yr). 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For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions." - }, - "lnlg-nce": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Land Nadir and Land Glint Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions." - }, - "lnlg-nce-std": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Land Nadir and Land Glint Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions." - }, - "lnlgis-nce": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Land Nadir, Land Glint and In Situ Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions." - }, - "lnlgis-nce-std": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Land Nadir, Land Glint and In Situ Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions." - }, - "lnlgogis-nce": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Land Nadir, Land Glint, Ocean Glint and In Situ Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions." - }, - "lnlgogis-nce-std": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Land Nadir, Land Glint, Ocean Glint and In Situ Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions." - }, - "river": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Lateral River Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region transported by the water cycle." - }, - "river-std": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Lateral River Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region transported by the water cycle." - }, - "wood": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Lateral Wood Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to wood product harvesting and usage." - }, - "wood-std": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Lateral Wood Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to wood product harvesting and usage." - }, - "crop": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Lateral Crop Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to agriculture." - }, - "crop-std": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Lateral Crop Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to agriculture." - }, - "ff": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Fossil Fuel and Cement Emissions", - "description": "The burning of fossil fuels and release of carbon due to cement production, representing a flux of carbon from the land surface (geologic reservoir) to the atmosphere." - }, - "ff-std": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Fossil Fuel and Cement Emissions std", - "description": "The burning of fossil fuels and release of carbon due to cement production, representing a flux of carbon from the land surface (geologic reservoir) to the atmosphere." - } - }, - "assets": null, - "time_density": "year" -} diff --git a/ingestion-data/datasets/oco2geos-co2-daygrid-v10r.json b/ingestion-data/datasets/oco2geos-co2-daygrid-v10r.json deleted file mode 100644 index 10e3507..0000000 --- a/ingestion-data/datasets/oco2geos-co2-daygrid-v10r.json +++ /dev/null @@ -1,98 +0,0 @@ -{ - "collection": "oco2geos-co2-daygrid-v10r", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2015-01-01T00:00:00Z", - "enddate": "2022-02-28T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "OCO-2 GEOS Column CO\u2082 Concentrations v10r", - "description": "This dataset provides global gridded, daily column-averaged carbon dioxide (XCO\u2082) concentrations from January 1, 2015 - February 28, 2022. The data are derived from Orbiting Carbon Observatory-2 (OCO-2) satellite observations that were input to the Goddard Earth Observing System (GEOS) Constituent Data Assimilation System (CoDAS), a modeling and data assimilation system maintained by NASA\u2019s Global Modeling and Assimilation Office (GMAO). Concentrations are measured in moles of carbon dioxide per mole of dry air (mol CO\u2082/mol dry) at a spatial resolution of 0.5\u00b0 x 0.625\u00b0. Data assimilation synthesizes simulations and observations, adjusting modeled atmospheric constituents like CO\u2082 to reflect observed values. With the support of NASA\u2019s Carbon Monitoring System (CMS) Program and the OCO Science Team, this dataset was produced as part of the OCO-2 mission which provides the highest quality space-based XCO\u2082 retrievals to date. The source data can be found at https://doi.org/10.5067/Y9M4NM9MPCGH", - "discovery_items": [ - { - "discovery": "s3", - "collection": "oco2geos-co2-daygrid-v10r", - "bucket": "ghgc-data-store-develop", - "prefix": "oco2geos-co2-daygrid-v10r/", - "filename_regex": ".*oco2_GEOS_.*.tif$", - "assets": { - "xco2": { - "title": "Average Dry-Air Column CO\u2082 (XCO\u2082)", - "description": "Daily dry air column-averaged mole fractions of carbon dioxide created from data assimilations of OCO-2 satellite retrievals.", - "regex": ".*oco2_GEOS_XCO2_L3CO2.*.tif$" - }, - "xco2prec": { - "title": "Average Dry-Air Column CO\u2082 Precision (XCO2PREC)", - "description": "Random errors for daily dry air column-averaged mole fractions of carbon dioxide calculated using a posteriori diagnostics.", - "regex": ".*oco2_GEOS_XCO2PREC.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "oco2geos-co2-daygrid-v10r-{}" - } - ], - "is_periodic": true, - "license": "CC0-1.0", - "sample_files": [ - "" - ], - "providers": [], - "renders": { - "dashboard": { - "assets": [ - "xco2" - ], - "colormap_name": "magma", - "rescale": [ - [ - 412, - 422 - ] - ] - }, - "xco2": { - "assets": [ - "xco2" - ], - "colormap_name": "magma", - "rescale": [ - [ - 412, - 422 - ] - ] - } - }, - "item_assets": { - "xco2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Average Dry-Air Column CO\u2082 (XCO\u2082)", - "description": "Daily dry air column-averaged mole fractions of carbon dioxide created from data assimilations of OCO-2 satellite retrievals." - }, - "xco2prec": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Average Dry-Air Column CO\u2082 Precision (XCO\u2082PREC)", - "description": "Random errors for daily dry air column-averaged mole fractions of carbon dioxide calculated using a posteriori diagnostics." - } - }, - "assets": {}, - "time_density": "day" -} diff --git a/ingestion-data/datasets/odiac-ffco2-monthgrid-v2022.json b/ingestion-data/datasets/odiac-ffco2-monthgrid-v2022.json deleted file mode 100644 index c997c83..0000000 --- a/ingestion-data/datasets/odiac-ffco2-monthgrid-v2022.json +++ /dev/null @@ -1,94 +0,0 @@ -{ - "collection": "odiac-ffco2-monthgrid-v2022", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2000-01-01T00:00:00Z", - "enddate": "2020-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "ODIAC Fossil Fuel CO\u2082 Emissions v2022", - "description": "The Open-source Data Inventory for Anthropogenic CO\u2082 (ODIAC) data product is a monthly high-resolution global data product of modeled fossil fuel carbon dioxide (CO\u2082) emissions. A complex model incorporates and combines space-based nighttime light data and individual power plant emission/location profiles from the latest country fossil fuel CO\u2082 estimates (2000-2019) made by the Carbon Dioxide Information Analysis Center (CDIAC) team at the Appalachian State University (CDIAC at AppState, Gilfillan et al. 2021, Hefner et al. 2022). The ODIAC estimated global spatial extent of fossil fuel CO\u2082 emissions is produced on a 1 km by 1 km grid that details variations in urban regions where emissions are most intense. The ODIAC CO\u2082 emission data is widely used by the international research community for applications such as CO\u2082 flux inversion, urban emission estimation, and observing system design experiments. The ODIAC product was first created in 2009 by Dr. Tomohiro Oda with support from the National Institute for Environmental Studies (NIES) GOSAT project. The ODIAC team is now supported by NASA Goddard Space Flight Center, NASA Carbon Monitoring System program, the NASA Orbiting Carbon Observatory mission and NIES. The US GHG Center displays the ODIAC 2022 version containing monthly data from January 2000 to December 2021 that replaces all previous versions. The source dataset can be found at https://doi.org/10.17595/20170411.001", - "discovery_items": [ - { - "discovery": "s3", - "collection": "odiac-ffco2-monthgrid-v2022", - "bucket": "ghgc-data-store-develop", - "prefix": "odiac-ffco2-monthgrid-v2022/", - "filename_regex": ".*odiac2022_1km_.*.tif$", - "datetime_range": "month", - "assets": { - "co2-emissions": { - "title": "Fossil Fuel CO\u2082 Emissions", - "description": "Model-estimated monthly, 1 km resolution CO\u2082 emissions from fossil fuel combustion, cement production and gas flaring created using space-based nighttime light data and individual power plant emission/location profiles.", - "regex": ".*odiac2022_1km_.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "odiac-ffco2-monthgrid-v2022-{}" - } - ], - "is_periodic": true, - "license": "CC-BY-4.0", - "sample_files": [ - "" - ], - "providers": [ - { - "url": "https://www.nies.go.jp", - "name": "National Institute for Environmental Studies", - "roles": [ - "producer", - "licensor" - ] - } - ], - "renders": { - "dashboard": { - "assets": [ - "co2-emissions" - ], - "colormap_name": "jet", - "rescale": [ - [ - -10, - 60 - ] - ] - }, - "co2-emissions": { - "assets": [ - "co2-emissions" - ], - "colormap_name": "jet", - "rescale": [ - [ - -10, - 60 - ] - ] - } - }, - "item_assets": { - "co2-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Fossil Fuel CO\u2082 Emissions", - "description": "Model-estimated monthly, 1 km resolution CO\u2082 emissions from fossil fuel combustion, cement production and gas flaring created using space-based nighttime light data and individual power plant emission/location profiles." - } - }, - "assets": {}, - "time_density": "month" -} diff --git a/ingestion-data/datasets/odiac-ffco2-monthgrid-v2023.json b/ingestion-data/datasets/odiac-ffco2-monthgrid-v2023.json deleted file mode 100644 index f62ab79..0000000 --- a/ingestion-data/datasets/odiac-ffco2-monthgrid-v2023.json +++ /dev/null @@ -1,94 +0,0 @@ -{ - "collection": "odiac-ffco2-monthgrid-v2023", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2000-01-01T00:00:00Z", - "enddate": "2022-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "ODIAC Fossil Fuel CO\u2082 Emissions v2023", - "description": "The Open-source Data Inventory for Anthropogenic CO\u2082 (ODIAC) data product is a monthly high-resolution global data product of modeled fossil fuel carbon dioxide (CO\u2082) emissions. A complex model incorporates and combines space-based nighttime light data and individual power plant emission/location profiles from the latest country fossil fuel CO\u2082 estimates (2000-2019) made by the Carbon Dioxide Information Analysis Center (CDIAC) team at the Appalachian State University (CDIAC at AppState, Gilfillan et al. 2021, Hefner et al. 2022). The ODIAC estimated global spatial extent of fossil fuel CO\u2082 emissions is produced on a 1 km by 1 km grid that details variations in urban regions where emissions are most intense. The ODIAC CO\u2082 emission data is widely used by the international research community for applications such as CO\u2082 flux inversion, urban emission estimation, and observing system design experiments. The ODIAC product was first created in 2009 by Dr. Tomohiro Oda with support from the National Institute for Environmental Studies (NIES) GOSAT project. The ODIAC team is now supported by NASA Goddard Space Flight Center, NASA Carbon Monitoring System program, the NASA Orbiting Carbon Observatory mission and NIES. The US GHG Center displays the ODIAC 2023 version containing monthly data from January 2000 to December 2022 that replaces all previous versions. The source dataset can be found at https://doi.org/10.17595/20170411.001", - "discovery_items": [ - { - "discovery": "s3", - "collection": "odiac-ffco2-monthgrid-v2023", - "bucket": "ghgc-data-store-develop", - "prefix": "transformed_cogs/odiac-ffco2-monthgrid-v2023/", - "filename_regex": ".*odiac2023_1km_.*.tif$", - "datetime_range": "month", - "assets": { - "co2-emissions": { - "title": "Fossil Fuel CO\u2082 Emissions", - "description": "Model-estimated monthly, 1 km resolution CO\u2082 emissions from fossil fuel combustion, cement production and gas flaring created using space-based nighttime light data and individual power plant emission/location profiles.", - "regex": ".*odiac2023_1km_.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "odiac-ffco2-monthgrid-v2023-{}" - } - ], - "is_periodic": true, - "license": "CC-BY-4.0", - "sample_files": [ - "" - ], - "providers": [ - { - "url": "https://www.nies.go.jp", - "name": "National Institute for Environmental Studies", - "roles": [ - "producer", - "licensor" - ] - } - ], - "renders": { - "dashboard": { - "assets": [ - "co2-emissions" - ], - "colormap_name": "jet", - "rescale": [ - [ - -10, - 60 - ] - ] - }, - "co2-emissions": { - "assets": [ - "co2-emissions" - ], - "colormap_name": "jet", - "rescale": [ - [ - -10, - 60 - ] - ] - } - }, - "item_assets": { - "co2-emissions": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Fossil Fuel CO\u2082 Emissions", - "description": "Model-estimated monthly, 1 km resolution CO\u2082 emissions from fossil fuel combustion, cement production and gas flaring created using space-based nighttime light data and individual power plant emission/location profiles." - } - }, - "assets": {}, - "time_density": "month" -} diff --git a/ingestion-data/datasets/sedac-popdensity-yeargrid5yr-v4.11.json b/ingestion-data/datasets/sedac-popdensity-yeargrid5yr-v4.11.json deleted file mode 100644 index 05aa949..0000000 --- a/ingestion-data/datasets/sedac-popdensity-yeargrid5yr-v4.11.json +++ /dev/null @@ -1,85 +0,0 @@ -{ - "collection": "sedac-popdensity-yeargrid5yr-v4.11", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "2000-01-01T00:00:00Z", - "enddate": "2020-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "SEDAC Gridded World Population Density v4.11", - "description": "The Socioeconomic Data and Applications Center (SEDAC) Gridded Population of the World (GPW), version 4, revision 11 dataset contains a Population Density product that provides estimates of population density (number of persons per square kilometer (persons/km\u00b2)) at five year intervals for the years 2000, 2005, 2010, 2015, and 2020 on a 30 arc-second (~1 km at the equator) grid. The dataset can be used for assessing disaster impacts, risk mapping, and any other applications that include a human dimension. The source dataset can be found at https://doi.org/10.7927/H49C6VHW", - "discovery_items": [ - { - "discovery": "s3", - "collection": "sedac-popdensity-yeargrid5yr-v4.11", - "bucket": "ghgc-data-store-develop", - "prefix": "sedac-popdensity-yeargrid5yr-v4.11/", - "filename_regex": ".*gpw_v4_population_density_rev11.*.tif$", - "datetime_range": "year", - "assets": { - "population-density": { - "title": "Population Density", - "description": "Gridded population density estimates for the years 2000, 2005, 2010, 2015, and 2020 from Gridded Population of the World (GPW) version 4, revision 11.", - "regex": ".*gpw_v4_population_density_rev11.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "sedac-popdensity-yeargrid5yr-v4.11-{}" - } - ], - "is_periodic": false, - "license": "CC-BY-4.0", - "sample_files": [ - "" - ], - "providers": [], - "renders": { - "dashboard": { - "assets": [ - "population-density" - ], - "colormap_name": "ylorrd", - "rescale": [ - [ - 0, - 1000 - ] - ] - }, - "population-density": { - "assets": [ - "population-density" - ], - "colormap_name": "ylorrd", - "rescale": [ - [ - 0, - 1000 - ] - ] - } - }, - "item_assets": { - "population_density": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Population Density", - "description": "Gridded population density estimates for the years 2000, 2005, 2010, 2015, and 2020 from Gridded Population of the World (GPW) version 4, revision 11." - } - }, - "assets": {}, - "time_density": "year" -} diff --git a/ingestion-data/datasets/tm54dvar-ch4flux-mask-monthgrid-v1.json b/ingestion-data/datasets/tm54dvar-ch4flux-mask-monthgrid-v1.json deleted file mode 100644 index f66b559..0000000 --- a/ingestion-data/datasets/tm54dvar-ch4flux-mask-monthgrid-v1.json +++ /dev/null @@ -1,163 +0,0 @@ -{ - "collection": "tm54dvar-ch4flux-mask-monthgrid-v1", - "data_type": "cog", - "spatial_extent": { - "xmin": -180.0, - "ymin": -90.0, - "xmax": 180.0, - "ymax": 90.0 - }, - "temporal_extent": { - "startdate": "1999-01-01T00:00:00Z", - "enddate": "2016-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "TM5-4DVar Isotopic CH\u2084 Inverse Fluxes v1", - "description": "Surface methane (CH\u2084) emissions are derived from atmospheric measurements of methane and its \u00b9\u00b3C carbon isotope content. Different sources of methane contain different ratios of the two stable isotopologues, \u00b9\u00b2CH\u2084 and \u00b9\u00b3CH\u2084. This makes normally indistinguishable collocated sources of methane, say from agriculture and oil and gas exploration, distinguishable. The National Oceanic and Atmospheric Administration (NOAA) collects whole air samples from its global cooperative network of flasks (https://gml.noaa.gov/ccgg/about.html), which are then analyzed for methane and other trace gases. A subset of those flasks are also analyzed for \u00b9\u00b3C of methane in collaboration with the Institute of Arctic and Alpine Research at the University of Colorado Boulder. Scientists at the National Aeronautics and Space Administration (NASA) and NOAA used those measurements of methane and \u00b9\u00b3C of methane in conjunction with a model of atmospheric circulation to estimate emissions of methane separated by three source types: microbial, fossil and pyrogenic. This dataset presents monthly methane emissions in units of grams of methane per square meter per year (g CH\u2084/m\u00b2/year) from microbial, fossil and pyrogenic sources, along with a layer of total methane emissions from all three sources combined, at 1\u00b0 resolution from 1999 to 2016. The source data can be found at https://doi.org/10.5281/zenodo.8264109", - "discovery_items": [ - { - "discovery": "s3", - "collection": "tm54dvar-ch4flux-mask-monthgrid-v1", - "bucket": "ghgc-data-store-develop", - "prefix": "tm54dvar-ch4flux-mask-monthgrid-v1/", - "filename_regex": ".*methane_emis_.*.tif$", - "datetime_range": "month", - "assets": { - "total": { - "title": "Total CH\u2084 Emission", - "description": "Total methane emission from microbial, fossil and pyrogenic sources.", - "regex": ".*methane_emis_total.*.tif$" - }, - "microbial": { - "title": "Microbial CH\u2084 Emission", - "description": "Emission of methane from all microbial sources, such as wetlands, agriculture and termites.", - "regex": ".*methane_emis_microbial.*.tif$" - }, - "fossil": { - "title": "Fossil CH\u2084 Emission", - "description": "Emission of methane from all fossil sources, such as oil and gas activities and coal mining.", - "regex": ".*methane_emis_fossil.*.tif$" - }, - "pyrogenic": { - "title": "Pyrogenic CH\u2084 Emission", - "description": "Emission of methane from all sources of biomass burning, such as wildfires and crop residue burning.", - "regex": ".*methane_emis_pyrogenic.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "tm54dvar-ch4flux-mask-monthgrid-v1-{}" - } - ], - "is_periodic": true, - "license": "CC0-1.0", - "sample_files": [ - "" - ], - "providers": [], - "renders": { - "dashboard": { - "assets": [ - "total" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0.48, - 24 - ] - ] - }, - "total": { - "assets": [ - "total" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0.48, - 24 - ] - ] - }, - "microbial": { - "assets": [ - "microbial" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0.3, - 15 - ] - ] - }, - "fossil": { - "assets": [ - "fossil" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0.24, - 12 - ] - ] - }, - "pyrogenic": { - "assets": [ - "pyrogenic" - ], - "colormap_name": "purd", - "rescale": [ - [ - 0.032, - 1.6 - ] - ] - } - }, - "item_assets": { - "total": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total CH\u2084 Emission", - "description": "Total methane emission from microbial, fossil and pyrogenic sources" - }, - "microbial": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Microbial CH\u2084 Emission", - "description": "Emission of methane from all microbial sources, such as wetlands, agriculture and termites." - }, - "fossil": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Fossil CH\u2084 Emission", - "description": "Emission of methane from all fossil sources, such as oil and gas activities and coal mining." - }, - "pyrogenic": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Pyrogenic CH\u2084 Emission", - "description": "Emission of methane from all sources of biomass burning, such as wildfires and crop burning." - } - }, - "assets": {}, - "time_density": "month" -} diff --git a/ingestion-data/datasets/vulcan-ffco2-elc-res-yeargrid-v4.json b/ingestion-data/datasets/vulcan-ffco2-elc-res-yeargrid-v4.json deleted file mode 100644 index 44dfc7e..0000000 --- a/ingestion-data/datasets/vulcan-ffco2-elc-res-yeargrid-v4.json +++ /dev/null @@ -1,94 +0,0 @@ -{ - "collection": "vulcan-ffco2-elc-res-yeargrid-v4", - "data_type": "cog", - "spatial_extent": { - "xmin": -128.22655, - "ymin": 47.89015278, - "xmax": -65.30824167, - "ymax": 22.85824167 - }, - "temporal_extent": { - "startdate": "2019-01-01T00:00:00Z", - "enddate": "2021-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "Vulcan Fossil Fuel CO\u2082 Emissions v4.0", - "description": "The Vulcan version 4.0 data product represents total carbon dioxide (CO\u2082) emissions resulting from the combustion of fossil fuel (FF) for the contiguous United States and District of Columbia. Referred to as FFCO\u2082, the emissions from Vulcan are also categorized into 10 source sectors including; airports, cement production, commercial marine vessels, commercial, power plants, industrial, non-road, on-road, residential and railroads. Data are gridded annually on a 1-km grid for the years 2010 to 2021. These data are annual sums of hourly estimates. Included is the estimated total annual FFCO2 for the United States, as well as the estimated total annual FFCO\u2082 per sector in units of metric tonnes of carbon per 1 km x 1 km grid cell per year (tonne C/km2/year). The Vulcan Project is a multiagency (NASA, DOE, NOAA, NIST) funded effort under the North American Carbon Program (NACP) to quantify North American fossil fuel carbon dioxide (FFCO\u2082) emissions at space and time scales much finer than has been achieved in the past. The purpose is to aid in quantification of the North American carbon budget, to support inverse estimation of carbon sources and sinks, and to support the demands posed by higher resolution FFCO\u2082 observations (in situ and remotely sensed). The detail and scope of the Vulcan FFCO\u2082 inventory has also made it a valuable tool for policymakers, demographers, social scientists and the public at large. Learn more at the Vulcan website: https://vulcan.rc.nau.edu/index.html", - "discovery_items": [ - { - "discovery": "s3", - "collection": "vulcan-ffco2-elc-res-yeargrid-v4", - "bucket": "ghgc-data-store-develop", - "prefix": "transformed_cogs/vulcan-ffco2-elc-res-yeargrid-v4/", - "filename_regex": ".*.tif$", - "datetime_range": "year", - "assets": { - "elc-res-co2": { - "title": "Scope 2 Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual FFCO\u2082 emissions from residential sources (scope 2).", - "regex": ".*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "vulcan-ffco2-elc-res-yeargrid-v4-{}" - } - ], - "is_periodic": true, - "license": "CC-BY-NC-4.0", - "sample_files": [ - "" - ], - "providers": [ - { - "url": "https://vulcan.rc.nau.edu/", - "name": "North American Carbon Program", - "roles": [ - "producer", - "licensor" - ] - } - ], - "renders": { - "dashboard": { - "assets": [ - "elc-res-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 150 - ] - ] - }, - "elc-res-co2": { - "assets": [ - "elc-res-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 150 - ] - ] - } - }, - "item_assets": { - "elc-res-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Scope 2 Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual FFCO\u2082 emissions from residential sources (scope 2)." - } - }, - "assets": {}, - "time_density": "year" -} diff --git a/ingestion-data/datasets/vulcan-ffco2-yeargrid-v4.json b/ingestion-data/datasets/vulcan-ffco2-yeargrid-v4.json deleted file mode 100644 index a33d5ce..0000000 --- a/ingestion-data/datasets/vulcan-ffco2-yeargrid-v4.json +++ /dev/null @@ -1,354 +0,0 @@ -{ - "collection": "vulcan-ffco2-yeargrid-v4", - "data_type": "cog", - "spatial_extent": { - "xmin": -128.22655, - "ymin": 47.89015278, - "xmax": -65.30824167, - "ymax": 22.85824167 - }, - "temporal_extent": { - "startdate": "2011-01-01T00:00:00Z", - "enddate": "2021-12-31T00:00:00Z" - }, - "stac_version": "1.0.0", - "stac_extensions": [ - "https://stac-extensions.github.io/render/v1.0.0/schema.json", - "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" - ], - "title": "Vulcan Fossil Fuel CO\u2082 Emissions v4.0", - "description": "Annual (2010 - 2021), 1 km resolution estimates of carbon dioxide emissions from fossil fuels and cement production over the contiguous United States, version 4.0", - "discovery_items": [ - { - "discovery": "s3", - "collection": "vulcan-ffco2-yeargrid-v4", - "bucket": "ghgc-data-store-develop", - "prefix": "transformed_cogs/vulcan-ffco2-yeargrid-v4/", - "filename_regex": ".*_CO2_USA_mosaic_grid_1km_mn_.*.tif$", - "datetime_range": "year", - "assets": { - "total-co2": { - "title": "Total of all sectors CO\u2082 Emissions", - "description": "Estimated total annual CO\u2082 emissions from fossil fuel combustion (ffCO\u2082) across all sectors.", - "regex": ".*TOT_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "air-co2": { - "title": "Total Airport CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from taxi, take-off, and landing up to 3000 ft.", - "regex": ".*AIR_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "cmt-co2": { - "title": "Total Cement CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from cement production.", - "regex": ".*CMT_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "cmv-co2": { - "title": "Total Commercial Marine Vessels CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from commercial marine vessels while maneuvering, hoteling, cruising and traveling within reduced speed zones at ports and shipping lanes. Includes only activity within 12 nautical miles (~22km) from the U.S. shoreline.", - "regex": ".*CMV_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "com-co2": { - "title": "Total Commercial CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from Commercial buildings.", - "regex": ".*COM_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "elc-co2": { - "title": "Total Powerplants CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from power plants.", - "regex": ".*ELC_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "ind-co2": { - "title": "Total Industrial CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from Industrial buildings.", - "regex": ".*IND_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "nrd-co2": { - "title": "Total Nonroad CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from off-road engines, equipment and vehicles including waterborne pleasure craft.", - "regex": ".*NRD_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "onr-co2": { - "title": "Total Onroad CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from mobile vehicles on roads.", - "regex": ".*ONR_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "res-co2": { - "title": "Total Residential CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from Residential buildings.", - "regex": ".*RES_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "rrd-co2": { - "title": "Total Railroad CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions coming from railroads.", - "regex": ".*RRD_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "vulcan-ffco2-yeargrid-v4-{}" - } - ], - "is_periodic": true, - "license": "CC-BY-NC-4.0", - "sample_files": [ - "" - ], - "providers": [ - { - "url": "https://vulcan.rc.nau.edu/", - "name": "North American Carbon Program", - "roles": [ - "producer", - "licensor" - ] - } - ], - "renders": { - "dashboard": { - "assets": [ - "total-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "total-co2": { - "assets": [ - "total-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "air-co2": { - "assets": [ - "air-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "cmt-co2": { - "assets": [ - "cmt-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "cmv-co2": { - "assets": [ - "cmv-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "com-co2": { - "assets": [ - "com-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "elc-co2": { - "assets": [ - "elc-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "ind-co2": { - "assets": [ - "ind-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "nrd-co2": { - "assets": [ - "nrd-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "onr-co2": { - "assets": [ - "onr-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "res-co2": { - "assets": [ - "res-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - }, - "rrd-co2": { - "assets": [ - "rrd-co2" - ], - "colormap_name": "spectral_r", - "rescale": [ - [ - 0, - 500 - ] - ] - } - }, - "item_assets": { - "total-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Total Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual CO\u2082 emissions from fossil fuel combustion (ffCO\u2082) across all sectors.." - }, - "air-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Airport Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from taxi, take-off, and landing up to 3000 ft." - }, - "cmt-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Cement Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from cement production." - }, - "cmv-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Commercial Marine Vessel Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from commercial marine vessels while maneuvering, hoteling, cruising and traveling within reduced speed zones at ports and shipping lanes. Includes only activity within 12 nautical miles (~22km) from the U.S. shoreline." - }, - "com-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Commercial Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from Commercial buildings." - }, - "elc-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Power Plant Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from power plants." - }, - "ind-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Industrial Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from Industrial buildings." - }, - "nrd-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Non-Road Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from off-road engines, equipment and vehicles including waterborne pleasure craft." - }, - "onr-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "On-Road Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from mobile vehicles on roads." - }, - "res-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Residential Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual ffCO\u2082 emissions from Residential buildings." - }, - "rrd-co2": { - "type": "image/tiff; application=geotiff; profile=cloud-optimized", - "roles": [ - "data", - "layer" - ], - "title": "Railroad Fossil Fuel CO\u2082 Emissions", - "description": "Estimated total annual FFCO\u2082 emissions coming from railroads." - } - }, - "assets": {}, - "time_density": "year" -} diff --git a/ingestion-data/discovery-items/archive/casagfed-carbonflux-monthgrid-v3-items.json b/ingestion-data/discovery-items/archive/casagfed-carbonflux-monthgrid-v3-items.json deleted file mode 100644 index c75943d..0000000 --- a/ingestion-data/discovery-items/archive/casagfed-carbonflux-monthgrid-v3-items.json +++ /dev/null @@ -1,35 +0,0 @@ -{ - "collection": "casagfed-carbonflux-monthgrid-v3", - "bucket": "ghgc-data-store-dev", - "prefix": "GEOS-Carbs/", - "filename_regex": ".*GEOSCarb_CASAGFED3v3.*.tif$", - "datetime_group": ".*_(.*).tif$", - "datetime_range": "month", - "assets": { - "npp": { - "title": "Net Primary Production (NPP)", - "description": "Model-estimated net primary production (NPP), which is the amount of carbon available from plants.", - "regex": ".*GEOSCarb_CASAGFED3v3_NPP_Flux_.*.tif$" - }, - "rh": { - "title": "Heterotrophic Respiration (Rh)", - "description": "Model-estimated heterotrophic respiration (Rh), which is the flux of carbon from the soil to the atmosphere.", - "regex": ".*GEOSCarb_CASAGFED3v3_Rh_Flux_.*.tif$" - }, - "nee": { - "title": "Net Ecosystem Exchange (NEE)", - "description": "Model-estimated net ecosystem exchange (NEE), which is the net carbon flux to the atmosphere.", - "regex": ".*GEOSCarb_CASAGFED3v3_NEE_Flux_.*.tif$" - }, - "fire": { - "title": "Fire Emissions (FIRE)", - "description": "Model-estimated flux of carbon to the atmosphere from wildfires.", - "regex": ".*GEOSCarb_CASAGFED3v3_FIRE_Flux_.*.tif$" - }, - "fuel": { - "title": "Wood Fuel Emissions (FUEL)", - "description": "Model-estimated flux of carbon to the atmosphere from wood burned for fuel.", - "regex": ".*GEOSCarb_CASAGFED3v3_FUEL_Flux_.*.tif$" - } - } -} diff --git a/ingestion-data/discovery-items/archive/gosat-based-ch4budget-yeargrid-v1-items-all-layers.json b/ingestion-data/discovery-items/archive/gosat-based-ch4budget-yeargrid-v1-items-all-layers.json deleted file mode 100644 index 5a48cce..0000000 --- a/ingestion-data/discovery-items/archive/gosat-based-ch4budget-yeargrid-v1-items-all-layers.json +++ /dev/null @@ -1,200 +0,0 @@ -{ - "collection": "gosat-based-ch4budget-yeargrid-v1", - "bucket": "ghgc-data-store-develop", - "prefix": "gosat-based-ch4budget-yeargrid-v1/", - "filename_regex": ".*Emissions_GOSAT.*.tif$", - "assets": { - "post-total": { - "title": "Posterior Total Methane Emissions", - "description": "Estimated total methane emissions per grid cell informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_total.*.tif$" - }, - "prior-total": { - "title": "Prior Total Methane Emissions", - "description": "Total methane emissions per grid cell estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_total.*.tif$" - }, - "post-coal": { - "title": "Coal Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from coal sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_coal.*.tif$" - }, - "post-fire": { - "title": "Fire Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from fires informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_fire.*.tif$" - }, - "post-gas": { - "title": "Gas Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from gas sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_gas.*.tif$" - }, - "post-geo": { - "title": "Geological Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from geological sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_geo.*.tif$" - }, - "post-livestock": { - "title": "Livestock Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from livestock sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_livestock.*.tif$" - }, - "post-oil": { - "title": "Oil Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from oil sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_oil.*.tif$" - }, - "post-rice": { - "title": "Rice Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from rice cultivation informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_rice.*.tif$" - }, - "post-coal-uncertainty": { - "title": "Uncertainty - Coal Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from coal sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_coal.*.tif$" - }, - "post-fire-uncertainty": { - "title": "Uncertainty - Fire Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from fires informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_fire.*.tif$" - }, - "post-gas-uncertainty": { - "title": "Uncertainty - Gas Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from gas sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_gas.*.tif$" - }, - "post-geo-uncertainty": { - "title": "Uncertainty - Geological Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from geological sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_geo.*.tif$" - }, - "post-livestock-uncertainty": { - "title": "Uncertainty - Livestock Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from livestock sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_livestock.*.tif$" - }, - "post-oil-uncertainty": { - "title": "Uncertainty - Oil Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from oil sources informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_oil.*.tif$" - }, - "post-rice-uncertainty": { - "title": "Uncertainty - Rice Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from rice cultivation informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_rice.*.tif$" - }, - "post-waste-uncertainty": { - "title": "Uncertainty - Waste Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from waste (landfills and wastewater) informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_waste.*.tif$" - }, - "post-wetland-uncertainty": { - "title": "Uncertainty - Wetland Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from wetlands informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_wetland.*.tif$" - }, - "post-waste": { - "title": "Waste Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from waste (landfills and wastewater) informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_waste.*.tif$" - }, - "post-wetland": { - "title": "Wetland Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from wetlands informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_wetland.*.tif$" - }, - "prior-coal": { - "title": "Coal Prior Methane Emissions", - "description": "Methane emissions per grid cell from coal sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_coal.*.tif$" - }, - "prior-fire": { - "title": "Fire Prior Methane Emissions", - "description": "Methane emissions per grid cell from fires estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_fire.*.tif$" - }, - "prior-gas": { - "title": "Gas Prior Methane Emissions", - "description": "Methane emissions per grid cell from gas sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_gas.*.tif$" - }, - "prior-geo": { - "title": "Geological Prior Methane Emissions", - "description": "Methane emissions per grid cell from geological sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_geo.*.tif$" - }, - "prior-livestock": { - "title": "Livestock Prior Methane Emissions", - "description": "Methane emissions per grid cell from livestock sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_livestock.*.tif$" - }, - "prior-oil": { - "title": "Oil Prior Methane Emissions", - "description": "Methane emissions per grid cell from oil sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_oil.*.tif$" - }, - "prior-rice": { - "title": "Rice Prior Methane Emissions", - "description": "Methane emissions per grid cell from rice cultivation estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_rice.*.tif$" - }, - "prior-coal-uncertainty": { - "title": "Uncertainty - Coal Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from coal sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_coal.*.tif$" - }, - "prior-fire-uncertainty": { - "title": "Uncertainty - Fire Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from fires estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_fire.*.tif$" - }, - "prior-rice-uncertainty": { - "title": "Uncertainty - Rice Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from rice cultivation estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_rice.*.tif$" - }, - "prior-gas-uncertainty": { - "title": "Uncertainty - Gas Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from gas sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_gas.*.tif$" - }, - "prior-geo-uncertainty": { - "title": "Uncertainty - Geological Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from geological sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_geo.*.tif$" - }, - "prior-livestock-uncertainty": { - "title": "Uncertainty - Livestock Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from livestock sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_livestock.*.tif$" - }, - "prior-oil-uncertainty": { - "title": "Uncertainty - Oil Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from oil sources estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_oil.*.tif$" - }, - "prior-waste-uncertainty": { - "title": "Uncertainty - Waste Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from waste (landfills and wastewater) estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_waste.*.tif$" - }, - "prior-wetland-uncertainty": { - "title": "Uncertainty - Wetland Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from wetlands estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_wetland.*.tif$" - }, - "prior-waste": { - "title": "Waste Prior Methane Emissions", - "description": "Methane emissions per grid cell from waste (landfills and wastewater) estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_waste.*.tif$" - }, - "prior-wetland": { - "title": "Wetland Prior Methane Emissions", - "description": "Methane emissions per grid cell from wetlands estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_wetland.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "gosat-based-ch4budget-yeargrid-v1-{}" -} diff --git a/ingestion-data/discovery-items/archive/lpjeosim-wetlandch4-daygrid-v2-items.json b/ingestion-data/discovery-items/archive/lpjeosim-wetlandch4-daygrid-v2-items.json deleted file mode 100644 index d19e4b3..0000000 --- a/ingestion-data/discovery-items/archive/lpjeosim-wetlandch4-daygrid-v2-items.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "collection": "lpjeosim-wetlandch4-daygrid-v2", - "bucket": "ghgc-data-store-develop", - "prefix": "lpjeosim-wetlandch4-daygrid-v2/", - "filename_regex": ".*L2_CH4e_dch4e_.*.tif$", - "assets": { - "ensemble-mean-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, Ensemble Mean LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per day. Ensemble of multiple climate forcing data sources input to LPJ-EOSIM model.", - "regex": ".*_L2_CH4e_dch4e_ensemble_mean.*.tif$" - }, - "era5-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, ERA5 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per day. ECMWF Re-Analysis (ERA5) as input to LPJ-EOSIM model.", - "regex": ".*L2_CH4e_dch4e_ERA5.*.tif$" - }, - "merra2-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, MERRA-2 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per day. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as input to LPJ-EOSIM model.", - "regex": ".*L2_CH4e_dch4e_MERRA2.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "lpjeosim-wetlandch4-daygrid-v2-{}" -} diff --git a/ingestion-data/discovery-items/archive/lpjeosim-wetlandch4-monthgrid-v2-items.json b/ingestion-data/discovery-items/archive/lpjeosim-wetlandch4-monthgrid-v2-items.json deleted file mode 100644 index 9f29378..0000000 --- a/ingestion-data/discovery-items/archive/lpjeosim-wetlandch4-monthgrid-v2-items.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "collection": "lpjeosim-wetlandch4-monthgrid-v2", - "bucket": "ghgc-data-store-develop", - "prefix": "lpjwsl-wetlandch4-monthgrid-v2/", - "filename_regex": ".*L2_CH4e_mch4e_.*.tif$", - "assets": { - "ensemble-mean-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, Ensemble Mean LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per month. Ensemble of multiple climate forcing data sources input to LPJ-EOSIM model.", - "regex": ".*_L2_CH4e_mch4e_ensemble_mean.*.tif$" - }, - "era5-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, ERA5 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per month. ECMWF Re-Analysis (ERA5) as input to LPJ-EOSIM model.", - "regex": ".*L2_CH4e_mch4e_ERA5.*.tif$" - }, - "merra2-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, MERRA-2 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per month. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as input to LPJ-EOSIM model.", - "regex": ".*L2_CH4e_mch4e_MERRA2.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "lpjeosim-wetlandch4-monthgrid-v2-{}" -} diff --git a/ingestion-data/discovery-items/archive/lpjwsl-wetlandch4-daygrid-v1-items.json b/ingestion-data/discovery-items/archive/lpjwsl-wetlandch4-daygrid-v1-items.json deleted file mode 100644 index 15a5d20..0000000 --- a/ingestion-data/discovery-items/archive/lpjwsl-wetlandch4-daygrid-v1-items.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "collection": "lpjwsl-wetlandch4-daygrid-v1", - "bucket": "ghgc-data-store-dev", - "prefix": "NASA_GSFC_ch4_wetlands_daily/", - "filename_regex": ".*_ch4_wl_ch4_wetlands.*.tif$", - "datetime_group": ".*_(.*).tif$", - "assets": { - "ch4-wetlands-emissions": { - "title": "(Daily) LPJ-wsl Model Wetland CH₄ Emissions", - "description": "Daily CH₄ emissions from wetlands constructed using the LPJ-wsl model.", - "regex": ".*_ch4_wetlands.*.tif$" - } - } -} diff --git a/ingestion-data/discovery-items/archive/lpjwsl-wetlandch4-monthgrid-v1-items.json b/ingestion-data/discovery-items/archive/lpjwsl-wetlandch4-monthgrid-v1-items.json deleted file mode 100644 index 825c30e..0000000 --- a/ingestion-data/discovery-items/archive/lpjwsl-wetlandch4-monthgrid-v1-items.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "collection": "lpjwsl-wetlandch4-monthgrid-v1", - "bucket": "ghgc-data-store-dev", - "prefix": "NASA_GSFC_ch4_wetlands_monthly/", - "filename_regex": ".*_ch4_wl_ch4_wetlands.*.tif$", - "datetime_group": ".*_(.*).tif$", - "assets": { - "ch4-wetlands-emissions": { - "title": "(Monthly) LPJ-wsl Model Wetland CH₄ Emissions", - "description": "Monthly CH₄ emissions from wetlands constructed using the LPJ-wsl model.", - "regex": ".*_ch4_wetlands.*.tif$" - } - } -} diff --git a/ingestion-data/discovery-items/archive/oco2-mip-meanco2budget-yeargrid-v1-items.json b/ingestion-data/discovery-items/archive/oco2-mip-meanco2budget-yeargrid-v1-items.json deleted file mode 100644 index a04f8ce..0000000 --- a/ingestion-data/discovery-items/archive/oco2-mip-meanco2budget-yeargrid-v1-items.json +++ /dev/null @@ -1,170 +0,0 @@ -{ - "collection": "oco2-mip-meanco2budget-yeargrid-v1", - "bucket": "ghgc-data-store-develop", - "prefix": "oco2-mip-meanco2budget-yeargrid-v1/", - "filename_regex": ".*topdown_.*.tif$", - "assets": { - "is-dc-loss-meanyear": { - "title": "(Year Mean) In Situ Net Terrestrial Carbon Stock Loss", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_IS_dC_loss_meanYear_CO2.*.tif$" - }, - "is-dc-loss-std-meanyear": { - "title": "(Year Mean) In Situ Net Terrestrial Carbon Stock Loss std", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_IS_dC_loss_std_meanYear_CO2.*.tif$" - }, - "lnlg-dc-loss-meanyear": { - "title": "(Year Mean) Land Nadir and Land Glint Net Terrestrial Carbon Stock Loss", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_IS_dC_loss_meanYear_CO2.*.tif$" - }, - "lnlg-dc-loss-std-meanyear": { - "title": "(Year Mean) Land Nadir and Land Glint Net Terrestrial Carbon Stock Loss std", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLG_dC_loss_std_meanYear_CO2.*.tif$" - }, - "lnlgis-dc-loss-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint and In Situ Net Terrestrial Carbon Stock Loss", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLGIS_dC_loss_meanYear_CO2.*.tif$" - }, - "lnlgis-dc-loss-std-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint and In Situ Net Terrestrial Carbon Stock Loss std", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLGIS_dC_loss_std_meanYear_CO2.*.tif$" - }, - "lnlgogis-dc-loss-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint, Ocean Glint and In Situ Net Terrestrial Carbon Stock Loss", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLGOGIS_dC_loss_meanYear_CO2.*.tif$" - }, - "lnlgogis-dc-loss-std-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint, Ocean Glint and In Situ Net Terrestrial Carbon Stock Loss std", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLGOGIS_dC_loss_std_meanYear_CO2.*.tif$" - }, - "is-nbe-meanyear": { - "title": "(Year Mean) In Situ Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances).", - "regex": ".*topdown_IS_NBE_meanYear_CO2.*.tif$" - }, - "is-nbe-std-meanyear": { - "title": "(Year Mean) In Situ Net Biosphere Exchange std", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances).", - "regex": ".*topdown_IS_NBE_std_meanYear_CO2.*.tif$" - }, - "lnlg-nbe-meanyear": { - "title": "(Year Mean) Land Nadir and Land Glint Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLG_NBE_meanYear_CO2.*.tif$" - }, - "lnlg-nbe-std-meanyear": { - "title": "(Year Mean) Land Nadir and Land Glint Net Biosphere Exchange std", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLG_NBE_std_meanYear_CO2.*.tif$" - }, - "lnlgis-nbe-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint and In Situ Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLGIS_NBE_meanYear_CO2.*.tif$" - }, - "lnlgis-nbe-std-meanyear": { - "title": "(Year Mean) Land Nadir and Land Glint In Situ Net Biosphere Exchange std", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLGIS_NBE_std_meanYear_CO2.*.tif$" - }, - "lnlgogis-nbe-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint, Ocean Glint and In Situ Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLGOGIS_NBE_meanYear_CO2.*.tif$" - }, - "lnlgogis-nbe-std-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint, Ocean Glint and In Situ Net Biosphere Exchange std", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLGOGIS_NBE_std_meanYear_CO2.*.tif$" - }, - "is-nce-meanyear": { - "title": "(Year Mean) In Situ Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_IS_NCE_meanYear_CO2.*.tif$" - }, - "is-nce-std-meanyear": { - "title": "(Year Mean) In Situ Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_IS_NCE_std_meanYear_CO2.*.tif$" - }, - "lnlg-nce-meanyear": { - "title": "(Year Mean) Land Nadir and Land Glint Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLG_NCE_meanYear_CO2.*.tif$" - }, - "lnlg-nce-std-meanyear": { - "title": "(Year Mean) Land Nadir and Land Glint Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLG_NCE_std_meanYear_CO2.*.tif$" - }, - "lnlgis-nce-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint and In Situ Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLGIS_NCE_meanYear_CO2.*.tif$" - }, - "lnlgis-nce-std-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint and In Situ Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLGIS_NCE_std_meanYear_CO2.*.tif$" - }, - "lnlgogis-nce-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint, Ocean Glint and In Situ Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions", - "regex": ".*topdown_LNLGIS_NCE_meanYear_CO2.*.tif$" - }, - "lnlgogis-nce-std-meanyear": { - "title": "(Year Mean) Land Nadir, Land Glint, Ocean Glint and In Situ Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLGOGIS_NCE_std_meanYear_CO2.*.tif$" - }, - "river-meanyear": { - "title": "(Year Mean) Lateral River Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region transported by the water cycle.", - "regex": ".*topdown_River_meanYear_CO2.*.tif$" - }, - "river-std-meanyear": { - "title": "(Year Mean) Lateral River Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region transported by the water cycle.", - "regex": ".*topdown_River_std_meanYear_CO2.*.tif$" - }, - "wood-meanyear": { - "title": "(Year Mean) Lateral Wood Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to wood product harvesting and usage.", - "regex": ".*topdown_Wood_meanYear_CO2.*.tif$" - }, - "wood-std-meanyear": { - "title": "(Year Mean) Lateral Wood Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to wood product harvesting and usage.", - "regex": ".*topdown_Wood_std_meanYear_CO2.*.tif$" - }, - "crop-meanyear": { - "title": "(Year Mean) Lateral Crop Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to agriculture.", - "regex": ".*topdown_Crop_meanYear_CO2.*.tif$" - }, - "crop-std-meanyear": { - "title": "(Year Mean) Lateral Crop Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to agriculture.", - "regex": ".*topdown_Crop_std_meanYear_CO2.*.tif$" - }, - "ff-meanyear": { - "title": "(Year Mean) Fossil Fuel and Cement Emissions", - "description": "The burning of fossil fuels and release of carbon due to cement production, representing a flux of carbon from the land surface (geologic reservoir) to the atmosphere.", - "regex": ".*topdown_FF_meanYear_CO2.*.tif$" - }, - "ff-std-meanyear": { - "title": "(Year Mean) Fossil Fuel and Cement Emissions std", - "description": "The burning of fossil fuels and release of carbon due to cement production, representing a flux of carbon from the land surface (geologic reservoir) to the atmosphere.", - "regex": ".*topdown_FF_std_meanYear_CO2.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "oco2-mip-meanco2budget-yeargrid-v1-{}" -} diff --git a/ingestion-data/discovery-items/eccodarwin-co2flux-monthgrid-v5-items.json b/ingestion-data/discovery-items/eccodarwin-co2flux-monthgrid-v5-items.json deleted file mode 100644 index 94250ab..0000000 --- a/ingestion-data/discovery-items/eccodarwin-co2flux-monthgrid-v5-items.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "collection": "eccodarwin-co2flux-monthgrid-v5", - "bucket": "ghgc-data-store", - "prefix": "eccodarwin-co2flux-monthgrid-v5/", - "filename_regex": ".*ECCO-Darwin_.*.tif$", - "datetime_range": "month", - "assets": { - "co2": { - "title": "Air-Sea CO₂ Flux", - "description": "Monthly mean air-sea CO₂ flux (negative into ocean).", - "regex": ".*Darwin_CO2.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "eccodarwin-co2flux-monthgrid-v5-{}" -} diff --git a/ingestion-data/discovery-items/epa-ch4emission-yeargrid-v2express-items.json b/ingestion-data/discovery-items/epa-ch4emission-yeargrid-v2express-items.json deleted file mode 100644 index f50177c..0000000 --- a/ingestion-data/discovery-items/epa-ch4emission-yeargrid-v2express-items.json +++ /dev/null @@ -1,180 +0,0 @@ -{ - "collection": "epa-ch4emission-yeargrid-v2express", - "bucket": "ghgc-data-store", - "prefix": "epa-ch4emission-yeargrid-v2express/", - "filename_regex": ".*Express_Extension_.*.tif$", - "assets": { - "post-meter": { - "title": "Natural Gas - Post Meter (annual)", - "description": "Annual methane emissions downstream of residential, commercial, industrial natural gas distribution meters (i.e., “Post Meter”) (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_Supp_1B2b_PostMeter.*.tif$" - }, - "enteric-fermentation": { - "title": "Agriculture - Enteric Fermentation (annual)", - "description": "Annual methane emissions from enteric fermentation which is methane emitted as a by-product of the normal livestock digestive process (inventory Agriculture category 3A).", - "regex": ".*emi_ch4_3A_Enteric_Fermentation.*.tif$" - }, - "manure-management": { - "title": "Agriculture - Manure Management (annual)", - "description": "Annual methane emissions from livestock manure management (inventory Agriculture category 3B).", - "regex": ".*emi_ch4_3B_Manure_Management.*.tif$" - }, - "rice-cultivation": { - "title": "Agriculture - Rice Cultivation (annual)", - "description": "Annual methane emissions from rice cultivation (inventory Agriculture category 3C).", - "regex": ".*emi_ch4_3C_Rice_Cultivation.*.tif$" - }, - "field-burning": { - "title": "Agriculture - Field Burning (annual)", - "description": "Annual methane emissions from field burning of agricultural residues (inventory Agriculture category 3F).", - "regex": ".*emi_ch4_3F_Field_Burning.*.tif$" - }, - "exploration-ngs": { - "title": "Natural Gas - Exploration (annual)", - "description": "Annual methane emissions from Natural Gas Exploration (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_Exploration.*.tif$" - }, - "production-ngs": { - "title": "Natural Gas - Production (annual)", - "description": "Annual methane emissions from Natural Gas Production (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_Production.*.tif$" - }, - "transmission-storage-ngs": { - "title": "Natural Gas - Transmission and Storage (annual)", - "description": "Annual methane emissions from Natural Gas Transmission and Storage (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_TransmissionStorage.*.tif$" - }, - "processing-ngs": { - "title": "Natural Gas - Processing (annual)", - "description": "Annual methane emissions from Natural Gas Processing (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_Processing.*.tif$" - }, - "distribution-ngs": { - "title": "Natural Gas - Distribution (annual)", - "description": "Annual methane emissions from Natural Gas Distribution (inventory Energy 1B2b sub-category).", - "regex": ".*emi_ch4_1B2b_Natural_Gas_Distribution.*.tif$" - }, - "exploration-ps": { - "title": "Petroleum - Exploration (annual)", - "description": "Annual methane emissions from Petroleum Exploration (inventory Energy 1B2a sub-category).", - "regex": ".*emi_ch4_1B2a_Petroleum_Systems_Exploration.*.tif$" - }, - "production-ps": { - "title": "Petroleum - Production (annual)", - "description": "Annual methane emissions from Petroleum Production (inventory Energy 1B2a sub-category).", - "regex": ".*emi_ch4_1B2a_Petroleum_Systems_Production.*.tif$" - }, - "transport-ps": { - "title": "Petroleum - Transportation (annual)", - "description": "Annual methane emissions from Petroleum Transportation (inventory Energy 1B2a sub-category).", - "regex": ".*emi_ch4_1B2a_Petroleum_Systems_Transport.*.tif$" - }, - "refining-ps": { - "title": "Petroleum - Refining (annual)", - "description": "Annual methane emissions from Petroleum Refining (inventory Energy 1B2a sub-category).", - "regex": ".*emi_ch4_1B2a_Petroleum_Systems_Refining.*.tif$" - }, - "msw-landfill-waste": { - "title": "Waste - Municipal Solid Waste (MSW) Landfills (annual)", - "description": "Annual methane emissions from Municipal Solid Waste Landfills (inventory Waste 5A1 sub-category).", - "regex": ".*emi_ch4_5A1_Landfills_MSW.*.tif$" - }, - "industrial-landfill-waste": { - "title": "Waste - Industrial Landfills (annual)", - "description": "Annual methane emissions from Industrial Landfills (inventory Waste 5A1 sub-category).", - "regex": ".*emi_ch4_5A1_Landfills_Industrial.*.tif$" - }, - "dwtd-waste": { - "title": "Waste - Domestic Wastewater Treatment & Discharge (annual)", - "description": "Annual methane emissions from Domestic Wastewater Treatment and Discharge (inventory Waste 5D sub-category).", - "regex": ".*emi_ch4_5D_Wastewater_Treatment_Domestic.*.tif$" - }, - "iwtd-waste": { - "title": "Waste - Industrial Wastewater Treatment & Discharge (annual)", - "description": "Annual methane emissions from Industrial Wastewater Treatment and Discharge (inventory Waste 5D sub-category).", - "regex": ".*emi_ch4_5D_Wastewater_Treatment_Industrial.*.tif$" - }, - "composting-waste": { - "title": "Waste - Composting (annual)", - "description": "Annual methane emissions from Composting (inventory Waste category 5B1).", - "regex": ".*emi_ch4_5B1_Composting.*.tif$" - }, - "underground-coal": { - "title": "Coal Mining - Underground Mining (annual)", - "description": "Annual methane emissions from from active Underground Coal Mining (inventory Energy 1B1a sub-category).", - "regex": ".*emi_ch4_1B1a_Underground_Coal.*.tif$" - }, - "surface-coal": { - "title": "Coal Mining - Surface Mining (annual)", - "description": "Annual methane emissions from active Surface Coal Mining (inventory Energy 1B1a sub-category).", - "regex": ".*emi_ch4_1B1a_Surface_Coal.*.tif$" - }, - "abn-underground-coal": { - "title": "Coal Mining - Abandoned Underground Mines (annual)", - "description": "Annual methane emissions from Abandoned Underground Coal Mines (inventory Energy 1B1a sub-category).", - "regex": ".*emi_ch4_1B1a_Abandoned_Coal.*.tif$" - }, - "stationary-combustion-other": { - "title": "Other - Stationary Combustion (annual)", - "description": "Annual methane emissions from Stationary Combustion (inventory Energy 1A sub-category).", - "regex": ".*emi_ch4_1A_Combustion_Stationary.*.tif$" - }, - "mobile-combustion-other": { - "title": "Other - Mobile Combustion (annual)", - "description": "Annual methane emissions from Mobile Combustion (inventory Energy 1A sub-category).", - "regex": ".*emi_ch4_1A_Combustion_Mobile.*.tif$" - }, - "abn-ong-other": { - "title": "Other - Abandoned Oil and Gas Wells (annual)", - "description": "Annual methane emissions from Abandoned Oil and Gas Wells (inventory Energy 1B2a and 1B2b sub-categories).", - "regex": ".*emi_ch4_1B2ab_Abandoned_Oil_Gas.*.tif$" - }, - "petro-production-other": { - "title": "Other - Petrochemical Production (annual)", - "description": "Annual methane emissions from Petrochemical Production (inventory Industrial Processes and Product Use category 2B8).", - "regex": ".*emi_ch4_2B8_Industry_Petrochemical.*.tif$" - }, - "ferroalloy-production-other": { - "title": "Other - Ferroalloy Production (annual)", - "description": "Annual methane emissions from Ferroalloy Production (inventory Industrial Processes and Product Use category 2C2).", - "regex": ".*emi_ch4_2C2_Industry_Ferroalloy.*.tif$" - }, - "total-methane": { - "title": "Total Methane (annual)", - "description": "Total annual methane emission fluxes from all Agriculture, Energy, Waste, and ‘Other’ sources included in this dataset.", - "regex": ".*Express_Extension_all-variables.*.tif$" - }, - "total-agriculture": { - "title": "Total Agriculture (annual)", - "description": "Total annual methane emission fluxes from Agriculture sources (sum of inventory categories: Enteric Fermentation (3A), Manure Management (3B), Rice Cultivation (3C), Field Burning of Agricultural Residues (3F)).", - "regex": ".*Express_Extension_agriculture.*.tif$" - }, - "total-natural-gas-systems": { - "title": "Total Natural Gas Systems (annual)", - "description": "Total annual methane emission fluxes from Natural Gas Systems (sum of inventory Energy 1B2b sub-categories which includes Natural Gas Production, Transmission & Storage, Processing, Distribution and Exploration).", - "regex": ".*Express_Extension_natural-gas-systems.*.tif$" - }, - "total-petroleum-systems": { - "title": "Total Petroleum Systems (annual)", - "description": "Total annual methane emission fluxes from Petroleum Systems (sum of inventory Energy 1B2a sub-categories which includes Petroleum Production, Refining, Exploration and Transport).", - "regex": ".*Express_Extension_petroleum-systems.*.tif$" - }, - "total-waste": { - "title": "Total Waste (annual)", - "description": "Total annual methane emission fluxes from Waste (sum of inventory Waste categories: Municipal Solid Waste (MSW) and Industrial Landfills (5A1), Composting (5B1), Domestic and Industrial Wastewater Treatment and Discharge (5D)).", - "regex": ".*Express_Extension_waste.*.tif$" - }, - "total-other": { - "title": "Total Other (annual)", - "description": "Total annual methane emission fluxes from ‘Other’ remaining sources (sum of inventory categories 1A (Energy Combustion), 2B8 & 2C2 (Petrochemical & Ferroalloy Production) and 1B2a & 1B2b (Abandoned Oil & Gas Well Emissions)).", - "regex": ".*Express_Extension_other.*.tif$" - }, - "total-coal-mines": { - "title": "Total Coal Mines (annual)", - "description": "Total annual methane emission fluxes from Coal Mines (sum of inventory 1B1a sub-categories which includes Underground Coal Mining, Surface Coal Mining and Abandoned Underground Coal Mines).", - "regex": ".*Express_Extension_coal-mines.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "epa-ch4emission-yeargrid-v2express-{}" -} diff --git a/ingestion-data/discovery-items/gosat-based-ch4budget-yeargrid-v1-items.json b/ingestion-data/discovery-items/gosat-based-ch4budget-yeargrid-v1-items.json deleted file mode 100644 index a1e01b0..0000000 --- a/ingestion-data/discovery-items/gosat-based-ch4budget-yeargrid-v1-items.json +++ /dev/null @@ -1,40 +0,0 @@ -{ - "collection": "gosat-based-ch4budget-yeargrid-v1", - "bucket": "ghgc-data-store", - "prefix": "gosat-based-ch4budget-yeargrid-v1/", - "filename_regex": ".*Emissions_GOSAT.*.tif$", - "assets": { - "post-total": { - "title": "Posterior Total Methane Emissions", - "description": "Estimated total methane emissions per grid cell informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_total.*.tif$" - }, - "prior-total": { - "title": "Prior Total Methane Emissions", - "description": "Total methane emissions per grid cell estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_total.*.tif$" - }, - "post-wetland-uncertainty": { - "title": "Uncertainty - Wetland Posterior Methane Emissions", - "description": "Uncertainty in estimated methane emissions per grid cell from wetlands informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_unc_wetland.*.tif$" - }, - "post-wetland": { - "title": "Wetland Posterior Methane Emissions", - "description": "Estimated methane emissions per grid cell from wetlands informed by GOSAT satellite total column methane data.", - "regex": ".*Emissions_GOSAT_post_wetland.*.tif$" - }, - "prior-wetland-uncertainty": { - "title": "Uncertainty - Wetland Prior Methane Emissions", - "description": "Uncertainty in methane emissions per grid cell from wetlands estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_unc_wetland.*.tif$" - }, - "prior-wetland": { - "title": "Wetland Prior Methane Emissions", - "description": "Methane emissions per grid cell from wetlands estimated by various inventories or models, excluding satellite based observations from GOSAT.", - "regex": ".*Emissions_GOSAT_prior_wetland.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "gosat-based-ch4budget-yeargrid-v1-{}" -} diff --git a/ingestion-data/discovery-items/gra2pes-ghg-monthgrid-v1-items.json b/ingestion-data/discovery-items/gra2pes-ghg-monthgrid-v1-items.json deleted file mode 100644 index 07a8912..0000000 --- a/ingestion-data/discovery-items/gra2pes-ghg-monthgrid-v1-items.json +++ /dev/null @@ -1,36 +0,0 @@ -{ - "collection":"gra2pes-ghg-monthgrid-v1", - "bucket":"ghgc-data-store", - "prefix":"gra2pes-ghg-monthgrid-v1", - "filename_regex":".*GRA2PESv1.0_total.*.tif$", - "datetime_range":"month", - "assets":{ - "co2":{ - "title":"CO₂ Emissions", - "description":"Estimated total CO₂ emissions.", - "regex":".*GRA2PESv1.0_total_CO2_.*.tif$" - }, - "co":{ - "title":"CO Emissions", - "description":"Estimated total CO emissions.", - "regex":".*GRA2PESv1.0_total_CO_.*.tif$" - }, - "nox":{ - "title":"Estimated NOx Emissions", - "description":"Estimated total NOx emissions.", - "regex":".*GRA2PESv1.0_total_NOX_.*.tif$" - }, - "pm25":{ - "title":"Estimated PM2.5 Emissions", - "description":"Estimated total PM2.5.", - "regex":".*GRA2PESv1.0_total_PM25-PRI_.*.tif$" - }, - "so2":{ - "title":"Estimated so₂ Emissions", - "description":"Estimated total SO₂ emissions.", - "regex":".*GRA2PESv1.0_total_SO2_.*.tif$" - } - }, - "id_regex":".*_(.*).tif$", - "id_template":"gra2pes-ghg-monthgrid-v1-{}" -} diff --git a/ingestion-data/discovery-items/landsat/landsat-all-vars-daily.json b/ingestion-data/discovery-items/landsat/landsat-all-vars-daily.json new file mode 100644 index 0000000..07d2ca8 --- /dev/null +++ b/ingestion-data/discovery-items/landsat/landsat-all-vars-daily.json @@ -0,0 +1,48 @@ +{ + "collection": "landsat-all-vars-daily", + "bucket": "nasa-disasters", + "prefix": "drcs_activations_new/Landsat", + "cogify": false, + "discovery": "s3", + "dry_run": false, + "filename_regex": ".*day.tif$", + "assets": { + "nbr": { + "description": "The Normalized Burn Ratio (NBR) is a satellite-based index, primarily using Landsat imagery, that identifies burned areas and quantifies the severity of a fire. It is calculated using a ratio of near-infrared (NIR) and shortwave infrared (SWIR) bands, which are affected differently by fire, with higher NBR values indicating less damage and lower values indicating more severe burns. The difference between the pre-fire and post-fire NBR, known as the differenced NBR (dNBR), is used to map burn severity.", + "regex": ".*NBR.*.tif$", + "title": "Normalized Burn Ratio" + }, + "colorInfrared": { + "description": "False-color composite using near-infrared, red, and green bands. Vegetation appears red, water dark, and urban areas gray-blue.", + "regex": ".*(colorInfrared|colorIR|colorinfrared).*.tif$", + "title": "Color Infrared" + }, + "mndwi": { + "description": "Water detection index using green and shortwave infrared bands. Enhances open water features and suppresses built-up areas.", + "regex": ".*MNDWI.*.tif$", + "title": "Modified Normalized Difference Water Index" + }, + "naturalColor": { + "description": "Color-balanced composite using visible bands (red, green, blue) to approximate natural human vision of the landscape.", + "regex": ".*(naturalColor|naturalcolor).*.tif$", + "title": "Natural Color" + }, + "ndvi": { + "description": "Vegetation health index comparing red and near-infrared reflectance. Higher values indicate healthier, denser vegetation.", + "regex": ".*(NDVI).*.tif$", + "title": "Normalized Difference Vegetation Index" + }, + "tropics": { + "description": "Tropics", + "regex": ".*(TROPICS).*.tif$", + "title": "Tropics" + }, + "trueColor": { + "description": "Standard RGB composite using visible bands (red, green, blue) without color balancing adjustments.", + "regex": ".*(trueColor|truecolor).*.tif$", + "title": "True Color" + } + }, + "id_regex": "(.*).tif$", + "id_template": "{}" +} \ No newline at end of file diff --git a/ingestion-data/discovery-items/landsat/old-single-collections/old-landsat-colorIR.json b/ingestion-data/discovery-items/landsat/old-single-collections/old-landsat-colorIR.json new file mode 100644 index 0000000..3ebad2d --- /dev/null +++ b/ingestion-data/discovery-items/landsat/old-single-collections/old-landsat-colorIR.json @@ -0,0 +1,23 @@ +{ + "collection": "landsat-colorIR", + "bucket": "nasa-disasters", + "prefix": "drcs_activations_new/Landsat/colorIR", + "cogify": false, + "discovery": "s3", + "dry_run": false, + "filename_regex": ".*.tif$", + "assets": { + "cir-ls08": { + "description": "Landsat 8 Colorinfrared", + "regex": ".*(LC08|LS08).*.tif$", + "title": "Landsat 8 Colorinfrared" + }, + "cir-ls09": { + "description": "Landsat 9 Colorinfrared", + "regex": ".*(LC09|LS09).*.tif$", + "title": "Landsat 9 Colorinfrared" + } + }, + "id_regex": ".*_(\\d{4}-\\d{2}-\\d{2}_day).tif$", + "id_template": "landsat-{}" +} \ No newline at end of file diff --git a/ingestion-data/discovery-items/landsat/old-single-collections/old-landsat-naturalcolor.json b/ingestion-data/discovery-items/landsat/old-single-collections/old-landsat-naturalcolor.json new file mode 100644 index 0000000..e485a0c --- /dev/null +++ b/ingestion-data/discovery-items/landsat/old-single-collections/old-landsat-naturalcolor.json @@ -0,0 +1,23 @@ +{ + "collection": "landsat-naturalcolor", + "bucket": "nasa-disasters", + "prefix": "drcs_activations_new/Landsat/naturalColor", + "cogify": false, + "discovery": "s3", + "dry_run": false, + "filename_regex": ".*.tif$", + "assets": { + "nc-ls08": { + "description": "Landsat 8 Natural Color", + "regex": ".*(LC08|LS08).*.tif$", + "title": "Landsat 8 Natural Color" + }, + "nc-ls09": { + "description": "Landsat 9 Natural Color", + "regex": ".*(LC09|LS09).*.tif$", + "title": "Landsat 9 Natural Color" + } + }, + "id_regex": ".*_(\\d{4}-\\d{2}-\\d{2}_day).tif$", + "id_template": "landsat-naturalcolor-{}" +} \ No newline at end of file diff --git a/ingestion-data/discovery-items/micasa-carbonflux-daygrid-v1-items.json b/ingestion-data/discovery-items/micasa-carbonflux-daygrid-v1-items.json deleted file mode 100644 index 5addb2a..0000000 --- a/ingestion-data/discovery-items/micasa-carbonflux-daygrid-v1-items.json +++ /dev/null @@ -1,45 +0,0 @@ -{ - "collection": "micasa-carbonflux-daygrid-v1", - "bucket": "ghgc-data-store", - "prefix": "micasa-carbonflux-daygrid-v1/", - "filename_regex": ".*MiCASA_v1.*.tif$", - "assets": { - "npp": { - "title": "Net Primary Production (NPP), MiCASA Model v1", - "description": "Net Primary Production (carbon available from plants) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_NPP_.*daily.*.tif$" - }, - "rh": { - "title": "Heterotrophic respiration (Rh), MiCASA Model v1", - "description": "Heterotrophic respiration (carbon flux from the soil to the atmosphere) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_Rh_.*daily.*.tif$" - }, - "nee": { - "title": "Net Ecosystem Exchange (NEE), MiCASA Model v1", - "description": "Net Ecosystem Exchange (net carbon flux to the atmosphere) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_NEE_.*daily.*.tif$" - }, - "fire": { - "title": "Fire emissions (FIRE), MiCASA Model v1", - "description": "Fire emissions (flux of carbon to the atmosphere from wildfires) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_FIRE.*daily.*.tif$" - }, - "fuel": { - "title": "Wood fuel emissions (FUEL), MiCASA Model v1", - "description": "Wood fuel emissions (flux of carbon to the atmosphere from wood burned for fuel) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_FUEL_.*daily.*.tif$" - }, - "nbe": { - "title": "Net Biosphere Exchange (NBE), MiCASA Model v1", - "description": "Net Biosphere Exchange (net carbon flux from the ecosystem) in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_NBE_.*daily.*.tif$" - }, - "atmc": { - "title": "Atmospheric Correction (ATMC), MiCASA Model v1", - "description": "A correction to account for long-term historical changes in the uptake of CO₂ from the atmosphere to the biosphere in units of grams of carbon per square meter per day.", - "regex": ".*MiCASA_v1_ATMC_.*daily.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "micasa-carbonflux-daygrid-v1-{}" -} diff --git a/ingestion-data/discovery-items/micasa-carbonflux-monthgrid-v1-items.json b/ingestion-data/discovery-items/micasa-carbonflux-monthgrid-v1-items.json deleted file mode 100644 index 860e3c5..0000000 --- a/ingestion-data/discovery-items/micasa-carbonflux-monthgrid-v1-items.json +++ /dev/null @@ -1,46 +0,0 @@ -{ - "collection": "micasa-carbonflux-monthgrid-v1", - "bucket": "ghgc-data-store", - "prefix": "micasa-carbonflux-monthgrid-v1/", - "filename_regex": ".*MiCASA_v1.*.tif$", - "datetime_range": "month", - "assets": { - "npp": { - "title": "Net Primary Production (NPP), MiCASA Model v1", - "description": "Net Primary Production (carbon available from plants) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_NPP_.*monthly.*.tif$" - }, - "rh": { - "title": "Heterotrophic respiration (Rh), MiCASA Model v1", - "description": "Heterotrophic respiration (carbon flux from the soil to the atmosphere) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_Rh_.*monthly.*.tif$" - }, - "nee": { - "title": "Net Ecosystem Exchange (NEE), MiCASA Model v1", - "description": "Net Ecosystem Exchange (net carbon flux to the atmosphere) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_NEE_.*monthly.*.tif$" - }, - "fire": { - "title": "Fire emissions (FIRE), MiCASA Model v1", - "description": "Fire emissions (flux of carbon to the atmosphere from wildfires) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_FIRE.*monthly.*.tif$" - }, - "fuel": { - "title": "Wood fuel emissions (FUEL), MiCASA Model v1", - "description": "Wood fuel emissions (flux of carbon to the atmosphere from wood burned for fuel) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_FUEL_.*monthly.*.tif$" - }, - "nbe": { - "title": "Net Biosphere Exchange (NBE), MiCASA Model v1", - "description": "Net Biosphere Exchange (net carbon flux from the ecosystem) in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_NBE_.*monthly.*.tif$" - }, - "atmc": { - "title": "Atmospheric Correction (ATMC), MiCASA Model v1", - "description": "A correction to account for long-term historical changes in the uptake of CO₂ from the atmosphere to the biosphere in units of grams of carbon per square meter per day (monthly mean).", - "regex": ".*MiCASA_v1_ATMC_.*monthly.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "micasa-carbonflux-monthgrid-v1-{}" -} diff --git a/ingestion-data/discovery-items/oco2-mip-co2budget-yeargrid-v1-items.json b/ingestion-data/discovery-items/oco2-mip-co2budget-yeargrid-v1-items.json deleted file mode 100644 index b2f2f25..0000000 --- a/ingestion-data/discovery-items/oco2-mip-co2budget-yeargrid-v1-items.json +++ /dev/null @@ -1,170 +0,0 @@ -{ - "collection": "oco2-mip-co2budget-yeargrid-v1", - "bucket": "ghgc-data-store", - "prefix": "oco2-mip-co2budget-yeargrid-v1/", - "filename_regex": ".*topdown_.*.tif$", - "assets": { - "is-dc-loss": { - "title": "In Situ Net Terrestrial Carbon Stock Loss", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_IS_dC_loss_CO2.*.tif$" - }, - "is-dc-loss-std": { - "title": "In Situ Net Terrestrial Carbon Stock Loss std", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_IS_dC_loss_std_CO2.*.tif$" - }, - "lnlg-dc-loss": { - "title": "Land Nadir and Land Glint Net Terrestrial Carbon Stock Loss", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLG_dC_loss_CO2.*.tif$" - }, - "lnlg-dc-loss-std": { - "title": "Land Nadir and Land Glint Net Terrestrial Carbon Stock Loss std", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLG_dC_loss_std_CO2.*.tif$" - }, - "lnlgis-dc-loss": { - "title": "Land Nadir, Land Glint and In Situ Net Terrestrial Carbon Stock Loss", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLGIS_dC_loss_CO2.*.tif$" - }, - "lnlgis-dc-loss-std": { - "title": "Land Nadir, Land Glint and In Situ Net Terrestrial Carbon Stock Loss std", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLGIS_dC_loss_std_CO2.*.tif$" - }, - "lnlgogis-dc-loss": { - "title": "Land Nadir, Land Glint, Ocean Glint and In Situ Net Terrestrial Carbon Stock Loss", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLGOGIS_dC_loss_CO2.*.tif$" - }, - "lnlgogis-dc-loss-std": { - "title": "Land Nadir, Land Glint, Ocean Glint and In Situ Net Terrestrial Carbon Stock Loss std", - "description": "Positive values indicate a loss (decrease) of terrestrial carbon stocks (organic matter stored on land), including above- and below-ground biomass in ecosystems and biomass contained in anthropogenic products (lumber, cattle, etc.).", - "regex": ".*topdown_LNLGOGIS_dC_loss_std_CO2.*.tif$" - }, - "is-nbe": { - "title": "In Situ Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances).", - "regex": ".*topdown_IS_NBE_CO2.*.tif$" - }, - "is-nbe-std": { - "title": "In Situ Net Biosphere Exchange std", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_IS_NBE_std_CO2.*.tif$" - }, - "lnlg-nbe": { - "title": "Land Nadir and Land Glint Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLG_NBE_CO2.*.tif$" - }, - "lnlg-nbe-std": { - "title": "Land Nadir and Land Glint Net Biosphere Exchange std", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLG_NBE_std_CO2.*.tif$" - }, - "lnlgis-nbe": { - "title": "Land Nadir, Land Glint and In Situ Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLGIS_NBE_CO2.*.tif$" - }, - "lnlgis-nbe-std": { - "title": "Land Nadir, Land Glint and In Situ Net Biosphere Exchange std", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLGIS_NBE_std_CO2.*.tif$" - }, - "lnlgogis-nbe": { - "title": "Land Nadir, Land Glint, Ocean Glint and In Situ Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLGOGIS_NBE_CO2.*.tif$" - }, - "lnlgogis-nbe-std": { - "title": "Land Nadir, Land Glint, Ocean Glint and In Situ Net Biosphere Exchange", - "description": "Net flux of carbon from the terrestrial biosphere to the atmosphere due to biomass burning (BB) and Reco minus gross primary production (GPP). It includes both anthropogenic processes (e.g., deforestation, reforestation, farming) and natural processes (e.g., climate-variability-induced carbon fluxes, disturbances, recovery from disturbances.", - "regex": ".*topdown_LNLGOGIS_NBE_std_CO2.*.tif$" - }, - "is-nce": { - "title": "In Situ Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_IS_NCE_CO2.*.tif$" - }, - "is-nce-std": { - "title": "In Situ Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_IS_NCE_std_CO2.*.tif$" - }, - "lnlg-nce": { - "title": "Land Nadir and Land Glint Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLG_NCE_CO2.*.tif$" - }, - "lnlg-nce-std": { - "title": "Land Nadir and Land Glint Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLG_NCE_std_CO2.*.tif$" - }, - "lnlgis-nce": { - "title": "Land Nadir, Land Glint and In Situ Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLGIS_NCE_CO2.*.tif$" - }, - "lnlgis-nce-std": { - "title": "Land Nadir, Land Glint and In Situ Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLGIS_NCE_std_CO2.*.tif$" - }, - "lnlgogis-nce": { - "title": "Land Nadir, Land Glint, Ocean Glint and In Situ Terrestrial Net Carbon Exchange", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLGOGIS_NCE_CO2.*.tif$" - }, - "lnlgogis-nce-std": { - "title": "Land Nadir, Land Glint, Ocean Glint and In Situ Terrestrial Net Carbon Exchange std", - "description": "Net flux of carbon from the surface to the atmosphere. For land, NCE can be defined as sum of NBE and fossil fuel and cement emissions.", - "regex": ".*topdown_LNLGOGIS_NCE_std_CO2.*.tif$" - }, - "river": { - "title": "Lateral River Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region transported by the water cycle.", - "regex": ".*topdown_River_CO2.*.tif$" - }, - "river-std": { - "title": "Lateral River Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region transported by the water cycle.", - "regex": ".*topdown_River_std_CO2.*.tif$" - }, - "wood": { - "title": "Lateral Wood Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to wood product harvesting and usage.", - "regex": ".*topdown_Wood_CO2.*.tif$" - }, - "wood-std": { - "title": "Lateral Wood Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to wood product harvesting and usage.", - "regex": ".*topdown_Wood_std_CO2.*.tif$" - }, - "crop": { - "title": "Lateral Crop Flux", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to agriculture.", - "regex": ".*topdown_Crop_CO2.*.tif$" - }, - "crop-std": { - "title": "Lateral Crop Flux std", - "description": "The lateral flux of carbon in (positive) or out (negative) of a region due to agriculture.", - "regex": ".*topdown_Crop_std_CO2.*.tif$" - }, - "ff": { - "title": "Fossil Fuel and Cement Emissions", - "description": "The burning of fossil fuels and release of carbon due to cement production, representing a flux of carbon from the land surface (geologic reservoir) to the atmosphere.", - "regex": ".*topdown_FF_CO2.*.tif$" - }, - "ff-std": { - "title": "Fossil Fuel and Cement Emissions std", - "description": "The burning of fossil fuels and release of carbon due to cement production, representing a flux of carbon from the land surface (geologic reservoir) to the atmosphere.", - "regex": ".*topdown_FF_std_CO2.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "oco2-mip-co2budget-yeargrid-v1-{}" -} diff --git a/ingestion-data/discovery-items/oco2geos-co2-daygrid-v10r-items.json b/ingestion-data/discovery-items/oco2geos-co2-daygrid-v10r-items.json deleted file mode 100644 index d3b06f3..0000000 --- a/ingestion-data/discovery-items/oco2geos-co2-daygrid-v10r-items.json +++ /dev/null @@ -1,20 +0,0 @@ -{ - "collection": "oco2geos-co2-daygrid-v10r", - "bucket": "ghgc-data-store", - "prefix": "oco2geos-co2-daygrid-v10r/", - "filename_regex": ".*oco2_GEOS_.*.tif$", - "assets": { - "xco2": { - "title": "Average Dry-Air Column CO₂ (XCO₂)", - "description": "Daily dry air column-averaged mole fractions of carbon dioxide created from data assimilations of OCO-2 satellite retrievals.", - "regex": ".*oco2_GEOS_XCO2_L3CO2.*.tif$" - }, - "xco2prec": { - "title": "Average Dry-Air Column CO₂ Precision (XCO2PREC)", - "description": "Random errors for daily dry air column-averaged mole fractions of carbon dioxide calculated using a posteriori diagnostics.", - "regex": ".*oco2_GEOS_XCO2PREC.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "oco2geos-co2-daygrid-v10r-{}" -} diff --git a/ingestion-data/discovery-items/odiac-ffco2-monthgrid-v2022-items.json b/ingestion-data/discovery-items/odiac-ffco2-monthgrid-v2022-items.json deleted file mode 100644 index ac069ab..0000000 --- a/ingestion-data/discovery-items/odiac-ffco2-monthgrid-v2022-items.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "collection": "odiac-ffco2-monthgrid-v2022", - "bucket": "ghgc-data-store", - "prefix": "odiac-ffco2-monthgrid-v2022/", - "filename_regex": ".*odiac2022_1km_.*.tif$", - "datetime_range": "month", - "assets": { - "co2-emissions": { - "title": "Fossil Fuel CO₂ Emissions", - "description": "Model-estimated monthly, 1 km resolution CO₂ emissions from fossil fuel combustion, cement production and gas flaring created using space-based nighttime light data and individual power plant emission/location profiles.", - "regex": ".*odiac2022_1km_.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "odiac-ffco2-monthgrid-v2022-{}" -} diff --git a/ingestion-data/discovery-items/odiac-ffco2-monthgrid-v2023-items.json b/ingestion-data/discovery-items/odiac-ffco2-monthgrid-v2023-items.json deleted file mode 100644 index 98d2070..0000000 --- a/ingestion-data/discovery-items/odiac-ffco2-monthgrid-v2023-items.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "collection": "odiac-ffco2-monthgrid-v2023", - "bucket": "ghgc-data-store", - "prefix": "odiac-ffco2-monthgrid-v2023/", - "filename_regex": ".*odiac2023_1km_.*.tif$", - "datetime_range": "month", - "assets": { - "co2-emissions": { - "title": "Fossil Fuel CO₂ Emissions", - "description": "Model-estimated monthly, 1 km resolution CO₂ emissions from fossil fuel combustion, cement production and gas flaring created using space-based nighttime light data and individual power plant emission/location profiles.", - "regex": ".*odiac2023_1km_.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "odiac-ffco2-monthgrid-v2023-{}" -} diff --git a/ingestion-data/discovery-items/scheduled/emit-ch4plume-v1-items.json b/ingestion-data/discovery-items/scheduled/emit-ch4plume-v1-items.json deleted file mode 100644 index bd72018..0000000 --- a/ingestion-data/discovery-items/scheduled/emit-ch4plume-v1-items.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "collection": "emit-ch4plume-v1", - "bucket": "lp-prod-protected", - "prefix": "EMITL2BCH4PLM.001/", - "filename_regex": ".*.tif$", - "schedule": "00 05 * * *", - "assets": { - "ch4-plume-emissions": { - "title": "EMIT Methane Point Source Plume Complexes", - "description": "Methane plume complexes from point source emitters.", - "regex": ".*.tif$" - } - } -} diff --git a/ingestion-data/discovery-items/scheduled/lpjeosim-wetlandch4-daygrid-v2-items.json b/ingestion-data/discovery-items/scheduled/lpjeosim-wetlandch4-daygrid-v2-items.json deleted file mode 100644 index 1ff6d1d..0000000 --- a/ingestion-data/discovery-items/scheduled/lpjeosim-wetlandch4-daygrid-v2-items.json +++ /dev/null @@ -1,54 +0,0 @@ -[ - { - "collection": "lpjeosim-wetlandch4-daygrid-v2", - "bucket": "lp-prod-protected", - "prefix": "LPJ_EOSIM_L2_DCH4E.001/", - "filename_regex": ".*LPJ_EOSIM_L2_DCH4E_.*.tif$", - "assets": { - "ensemble-mean-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, Ensemble Mean LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. Ensemble of multiple climate forcing data sources input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_DCH4E_ensemble_mean_001.*.tif$" - }, - "era5-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, ERA5 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. ECMWF Re-Analysis (ERA5) as input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_DCH4E_ERA5_001.*.tif$" - }, - "merra2-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, MERRA-2 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_DCH4E_MERRA2_001.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "lpjeosim-wetlandch4-daygrid-v2-{}", - "schedule": "00 05 * * *" - }, - { - "collection": "lpjeosim-wetlandch4-daygrid-v2", - "bucket": "lp-prod-protected", - "prefix": "LPJ_EOSIM_L2_DCH4E_LL.001/", - "filename_regex": ".*LPJ_EOSIM_L2_DCH4E_LL.*.tif$", - "assets": { - "ensemble-mean-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, Ensemble Mean LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. Ensemble of multiple climate forcing data sources input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_DCH4E_LL_ensemble_mean_001.*.tif$" - }, - "era5-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, ERA5 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. ECMWF Re-Analysis (ERA5) as input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_DCH4E_LL_ERA5_001.*.tif$" - }, - "merra2-ch4-wetlands-emissions": { - "title": "(Daily) Wetland Methane Emissions, MERRA-2 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_DCH4E_LL_MERRA2_001.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "lpjeosim-wetlandch4-daygrid-v2-{}", - "schedule": "00 05 * * *" - } -] diff --git a/ingestion-data/discovery-items/scheduled/lpjeosim-wetlandch4-monthgrid-v2-items.json b/ingestion-data/discovery-items/scheduled/lpjeosim-wetlandch4-monthgrid-v2-items.json deleted file mode 100644 index 3aebff2..0000000 --- a/ingestion-data/discovery-items/scheduled/lpjeosim-wetlandch4-monthgrid-v2-items.json +++ /dev/null @@ -1,56 +0,0 @@ -[ - { - "collection": "lpjeosim-wetlandch4-monthgrid-v2", - "bucket": "lp-prod-protected", - "prefix": "LPJ_EOSIM_L2_MCH4E.001/", - "filename_regex": ".*LPJ_EOSIM_L2_MCH4E_.*.tif$", - "assets": { - "ensemble-mean-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, Ensemble Mean LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. Ensemble of multiple climate forcing data sources input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_MCH4E_ensemble_mean_001.*.tif$" - }, - "era5-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, ERA5 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. ECMWF Re-Analysis (ERA5) as input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_MCH4E_ERA5_001.*.tif$" - }, - "merra2-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, MERRA-2 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_MCH4E_MERRA2_001.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "lpjeosim-wetlandch4-monthgrid-v2-{}", - "datetime_range": "month", - "schedule": "00 05 * * *" - }, - { - "collection": "lpjeosim-wetlandch4-monthgrid-v2", - "bucket": "lp-prod-protected", - "prefix": "LPJ_EOSIM_L2_MCH4E_LL.001/", - "filename_regex": ".*LPJ_EOSIM_L2_MCH4E_LL.*.tif$", - "assets": { - "ensemble-mean-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, Ensemble Mean LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. Ensemble of multiple climate forcing data sources input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_MCH4E_LL_ensemble_mean_001.*.tif$" - }, - "era5-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, ERA5 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. ECMWF Re-Analysis (ERA5) as input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_MCH4E_LL_ERA5_001.*.tif$" - }, - "merra2-ch4-wetlands-emissions": { - "title": "(Monthly) Wetland Methane Emissions, MERRA-2 LPJ-EOSIM Model v2", - "description": "Methane emissions from wetlands in units of grams of methane per meter squared per second. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as input to LPJ-EOSIM model.", - "regex": ".*LPJ_EOSIM_L2_MCH4E_LL_MERRA2_001.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "lpjeosim-wetlandch4-monthgrid-v2-{}", - "datetime_range": "month", - "schedule": "00 05 * * *" - } -] diff --git a/ingestion-data/discovery-items/sedac-popdensity-yeargrid5yr-v4.11-items.json b/ingestion-data/discovery-items/sedac-popdensity-yeargrid5yr-v4.11-items.json deleted file mode 100644 index 9b5565e..0000000 --- a/ingestion-data/discovery-items/sedac-popdensity-yeargrid5yr-v4.11-items.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "collection": "sedac-popdensity-yeargrid5yr-v4.11", - "bucket": "ghgc-data-store", - "prefix": "sedac-popdensity-yeargrid5yr-v4.11/", - "filename_regex": ".*gpw_v4_population_density_rev11.*.tif$", - "datetime_range": "year", - "assets": { - "population-density": { - "title": "Population Density", - "description": "Gridded population density estimates for the years 2000, 2005, 2010, 2015, and 2020 from Gridded Population of the World (GPW) version 4, revision 11.", - "regex": ".*gpw_v4_population_density_rev11.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "sedac-popdensity-yeargrid5yr-v4.11-{}" -} diff --git a/ingestion-data/discovery-items/tm54dvar-ch4flux-mask-monthgrid-v1-items.json b/ingestion-data/discovery-items/tm54dvar-ch4flux-mask-monthgrid-v1-items.json deleted file mode 100644 index 9e388d4..0000000 --- a/ingestion-data/discovery-items/tm54dvar-ch4flux-mask-monthgrid-v1-items.json +++ /dev/null @@ -1,31 +0,0 @@ -{ - "collection": "tm54dvar-ch4flux-mask-monthgrid-v1", - "bucket": "ghgc-data-store", - "prefix": "tm54dvar-ch4flux-mask-monthgrid-v1/", - "filename_regex": ".*methane_emis_.*.tif$", - "datetime_range": "month", - "assets": { - "total": { - "title": "Total CH₄ Emission", - "description": "Total methane emission from microbial, fossil and pyrogenic sources.", - "regex": ".*methane_emis_total.*.tif$" - }, - "microbial": { - "title": "Microbial CH₄ Emission", - "description": "Emission of methane from all microbial sources, such as wetlands, agriculture and termites.", - "regex": ".*methane_emis_microbial.*.tif$" - }, - "fossil": { - "title": "Fossil CH₄ Emission", - "description": "Emission of methane from all fossil sources, such as oil and gas activities and coal mining.", - "regex": ".*methane_emis_fossil.*.tif$" - }, - "pyrogenic": { - "title": "Pyrogenic CH₄ Emission", - "description": "Emission of methane from all sources of biomass burning, such as wildfires and crop residue burning.", - "regex": ".*methane_emis_pyrogenic.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "tm54dvar-ch4flux-mask-monthgrid-v1-{}" -} diff --git a/ingestion-data/discovery-items/uavsar/uavsar-all-vars-daily.json b/ingestion-data/discovery-items/uavsar/uavsar-all-vars-daily.json new file mode 100644 index 0000000..3ad8878 --- /dev/null +++ b/ingestion-data/discovery-items/uavsar/uavsar-all-vars-daily.json @@ -0,0 +1,33 @@ +{ + "collection": "uavsar-all-vars-daily", + "bucket": "nasa-disasters", + "prefix": "drcs_activations_new/UAVSAR", + "cogify": false, + "discovery": "s3", + "dry_run": false, + "filename_regex": ".*day.tif$", + "assets": { + "displacement": { + "description": "Surface displacement measurements derived from interferometric SAR processing, showing ground movement in meters.", + "regex": ".*PV_DISP.*.tif$", + "title": "Displacement" + }, + "rgb": { + "description": "RGB composite visualization combining multiple polarization channels for enhanced interpretation of radar backscatter.", + "regex": ".*(rgb|RGB).*.tif$", + "title": "RGB Composite" + }, + "UNet-predictedScore": { + "description": "Machine learning predicted score from U-Net model analysis of SAR imagery, providing confidence values for feature detection.", + "regex": ".*UNet_predicted_score.*tif$", + "title": "UNet Predicted Score" + }, + "UNet-class": { + "description": "Classification output from U-Net model applied to SAR data, identifying distinct surface features and land cover types.", + "regex": ".*UNet_class.*.tif$", + "title": "UNet Classification" + } + }, + "id_regex": "(.*).tif$", + "id_template": "{}" +} diff --git a/ingestion-data/discovery-items/uavsar/uavsar-all-vars-subdaily.json b/ingestion-data/discovery-items/uavsar/uavsar-all-vars-subdaily.json new file mode 100644 index 0000000..279af5e --- /dev/null +++ b/ingestion-data/discovery-items/uavsar/uavsar-all-vars-subdaily.json @@ -0,0 +1,23 @@ +{ + "collection": "uavsar-all-vars-subdaily", + "bucket": "nasa-disasters", + "prefix": "drcs_activations_new/UAVSAR", + "cogify": false, + "discovery": "s3", + "dry_run": false, + "filename_regex": ".*Z.tif$", + "assets": { + "class": { + "description": "Classification quicklook visualization showing categorized surface features and land cover types derived from SAR analysis.", + "regex": ".*quicklook_class.*.tif$", + "title": "Quicklook Classification" + }, + "rgb": { + "description": "RGB quicklook composite providing rapid visual interpretation of radar backscatter across multiple polarizations.", + "regex": ".*quicklook_rgb.*.tif$", + "title": "Quicklook RGB" + } + }, + "id_regex": ".*_(\\d{5})_.*\\.tif$", + "id_template": "{}" +} diff --git a/ingestion-data/discovery-items/vector-data-items.json b/ingestion-data/discovery-items/vector-data-items.json deleted file mode 100644 index 43682b4..0000000 --- a/ingestion-data/discovery-items/vector-data-items.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "collection": "", - "bucket": "ghgc-data-store-develop", - "prefix": "transformed_csv/", - "filename_regex": ".*.csv$", - "id_template": "{}", - "vector": true, - "x_possible": "longitude", - "y_possible": "latitude", - "source_projection": "EPSG:4326", - "target_projection": "EPSG:4326", - "extra_flags": ["-overwrite", "-lco", "OVERWRITE=YES"] - } \ No newline at end of file diff --git a/ingestion-data/discovery-items/vulcan-ffco2-elc-res-yeargrid-v4-items.json b/ingestion-data/discovery-items/vulcan-ffco2-elc-res-yeargrid-v4-items.json deleted file mode 100644 index a19e175..0000000 --- a/ingestion-data/discovery-items/vulcan-ffco2-elc-res-yeargrid-v4-items.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "collection": "vulcan-ffco2-elc-res-yeargrid-v4", - "bucket": "ghgc-data-store", - "prefix": "vulcan-ffco2-elc-res-yeargrid-v4/", - "filename_regex": ".*.tif$", - "datetime_range": "year", - "assets": { - "elc-res-co2": { - "title": "Scope 2 Fossil Fuel CO₂ Emissions", - "description": "Estimated total annual FFCO₂ emissions from residential sources (scope 2).", - "regex": ".*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "vulcan-ffco2-elc-res-yeargrid-v4-{}" -} diff --git a/ingestion-data/discovery-items/vulcan-ffco2-yeargrid-v4-items.json b/ingestion-data/discovery-items/vulcan-ffco2-yeargrid-v4-items.json deleted file mode 100644 index f275273..0000000 --- a/ingestion-data/discovery-items/vulcan-ffco2-yeargrid-v4-items.json +++ /dev/null @@ -1,66 +0,0 @@ -{ - "collection": "vulcan-ffco2-yeargrid-v4", - "bucket": "ghgc-data-store", - "prefix": "vulcan-ffco2-yeargrid-v4/", - "filename_regex": ".*_CO2_USA_mosaic_grid_1km_mn_.*.tif$", - "datetime_range": "year", - "assets": { - "total-co2": { - "title": "Total of all sectors CO₂ Emissions", - "description": "Estimated total annual CO₂ emissions from fossil fuel combustion (ffCO₂) across all sectors.", - "regex": ".*TOT_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "air-co2": { - "title": "Total Airport CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from taxi, take-off, and landing up to 3000 ft.", - "regex": ".*AIR_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "cmt-co2": { - "title": "Total Cement CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from cement production.", - "regex": ".*CMT_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "cmv-co2": { - "title": "Total Commercial Marine Vessels CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from commercial marine vessels while maneuvering, hoteling, cruising and traveling within reduced speed zones at ports and shipping lanes. Includes only activity within 12 nautical miles (~22km) from the U.S. shoreline.", - "regex": ".*CMV_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "com-co2": { - "title": "Total Commercial CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from Commercial buildings.", - "regex": ".*COM_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "elc-co2": { - "title": "Total Powerplants CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from power plants.", - "regex": ".*ELC_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "ind-co2": { - "title": "Total Industrial CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from Industrial buildings.", - "regex": ".*IND_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "nrd-co2": { - "title": "Total Nonroad CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from off-road engines, equipment and vehicles including waterborne pleasure craft.", - "regex": ".*NRD_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "onr-co2": { - "title": "Total Onroad CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from mobile vehicles on roads.", - "regex": ".*ONR_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "res-co2": { - "title": "Total Residential CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions from Residential buildings.", - "regex": ".*RES_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - }, - "rrd-co2": { - "title": "Total Railroad CO₂ Emissions", - "description": "Estimated total annual ffCO₂ emissions coming from railroads.", - "regex": ".*RRD_CO2_USA_mosaic_grid_1km_mn_.*.tif$" - } - }, - "id_regex": ".*_(.*).tif$", - "id_template": "vulcan-ffco2-yeargrid-v4-{}" -} diff --git a/ingestion-data/transfer-config/eccodarwin-co2flux-monthgrid-v5.json b/ingestion-data/transfer-config/eccodarwin-co2flux-monthgrid-v5.json deleted file mode 100644 index b22a19c..0000000 --- a/ingestion-data/transfer-config/eccodarwin-co2flux-monthgrid-v5.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "eccodarwin-co2flux-monthgrid-v5", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "eccodarwin-co2flux-monthgrid-v5/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/epa-ch4emission-yeargrid-v2express.json b/ingestion-data/transfer-config/epa-ch4emission-yeargrid-v2express.json deleted file mode 100644 index f415427..0000000 --- a/ingestion-data/transfer-config/epa-ch4emission-yeargrid-v2express.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "epa-ch4emission-yeargrid-v2express", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "epa-ch4emission-yeargrid-v2express/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/gosat-based-ch4budget-yeargrid-v1.json b/ingestion-data/transfer-config/gosat-based-ch4budget-yeargrid-v1.json deleted file mode 100644 index b5fd664..0000000 --- a/ingestion-data/transfer-config/gosat-based-ch4budget-yeargrid-v1.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "gosat-based-ch4budget-yeargrid-v1", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "gosat-based-ch4budget-yeargrid-v1/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/gra2pes-ghg-monthgrid-v1.json b/ingestion-data/transfer-config/gra2pes-ghg-monthgrid-v1.json deleted file mode 100644 index 2fcf192..0000000 --- a/ingestion-data/transfer-config/gra2pes-ghg-monthgrid-v1.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "gra2pes-ghg-monthgrid-v1", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "transformed_cogs/GRA2PES/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*GRA2PESv1.0_total.*.tif$" -} diff --git a/ingestion-data/transfer-config/lpjeosim-wetlandch4-daygrid-v2.json b/ingestion-data/transfer-config/lpjeosim-wetlandch4-daygrid-v2.json deleted file mode 100644 index 6f32b4d..0000000 --- a/ingestion-data/transfer-config/lpjeosim-wetlandch4-daygrid-v2.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "lpjeosim-wetlandch4-daygrid-v2", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "lpjeosim-wetlandch4-daygrid-v2/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/lpjeosim-wetlandch4-monthgrid-v2.json b/ingestion-data/transfer-config/lpjeosim-wetlandch4-monthgrid-v2.json deleted file mode 100644 index fcbb32e..0000000 --- a/ingestion-data/transfer-config/lpjeosim-wetlandch4-monthgrid-v2.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "lpjeosim-wetlandch4-monthgrid-v2", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "lpjeosim-wetlandch4-monthgrid-v2/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/micasa-carbonflux-daygrid-v1.json b/ingestion-data/transfer-config/micasa-carbonflux-daygrid-v1.json deleted file mode 100644 index e687be9..0000000 --- a/ingestion-data/transfer-config/micasa-carbonflux-daygrid-v1.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "micasa-carbonflux-daygrid-v1", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "micasa-carbonflux-daygrid-v1/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*MiCASA_v1.*.tif$" -} diff --git a/ingestion-data/transfer-config/micasa-carbonflux-monthgrid-v1.json b/ingestion-data/transfer-config/micasa-carbonflux-monthgrid-v1.json deleted file mode 100644 index a5fd488..0000000 --- a/ingestion-data/transfer-config/micasa-carbonflux-monthgrid-v1.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "micasa-carbonflux-monthgrid-v1", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "micasa-carbonflux-monthgrid-v1/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*MiCASA_v1.*.tif$" -} diff --git a/ingestion-data/transfer-config/oco2-mip-co2budget-yeargrid-v1.json b/ingestion-data/transfer-config/oco2-mip-co2budget-yeargrid-v1.json deleted file mode 100644 index b704faa..0000000 --- a/ingestion-data/transfer-config/oco2-mip-co2budget-yeargrid-v1.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "oco2-mip-co2budget-yeargrid-v1", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "oco2-mip-co2budget-yeargrid-v1/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/oco2geos-co2-daygrid-v10r.json b/ingestion-data/transfer-config/oco2geos-co2-daygrid-v10r.json deleted file mode 100644 index 5591ca0..0000000 --- a/ingestion-data/transfer-config/oco2geos-co2-daygrid-v10r.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "oco2geos-co2-daygrid-v10r", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "oco2geos-co2-daygrid-v10r/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/odiac-ffco2-monthgrid-v2022.json b/ingestion-data/transfer-config/odiac-ffco2-monthgrid-v2022.json deleted file mode 100644 index fab2be6..0000000 --- a/ingestion-data/transfer-config/odiac-ffco2-monthgrid-v2022.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "odiac-ffco2-monthgrid-v2022", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "odiac-ffco2-monthgrid-v2022/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/odiac-ffco2-monthgrid-v2023.json b/ingestion-data/transfer-config/odiac-ffco2-monthgrid-v2023.json deleted file mode 100644 index 4b70c43..0000000 --- a/ingestion-data/transfer-config/odiac-ffco2-monthgrid-v2023.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "odiac-ffco2-monthgrid-v2023", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "transformed_cogs/odiac-ffco2-monthgrid-v2023/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*odiac2023_1km_.*.tif$" -} diff --git a/ingestion-data/transfer-config/sedac-popdensity-yeargrid5yr-v4.11.json b/ingestion-data/transfer-config/sedac-popdensity-yeargrid5yr-v4.11.json deleted file mode 100644 index 18ce010..0000000 --- a/ingestion-data/transfer-config/sedac-popdensity-yeargrid5yr-v4.11.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "sedac-popdensity-yeargrid5yr-v4.11", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "sedac-popdensity-yeargrid5yr-v4.11/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/tm54dvar-ch4flux-mask-monthgrid-v1.json b/ingestion-data/transfer-config/tm54dvar-ch4flux-mask-monthgrid-v1.json deleted file mode 100644 index 2ea8490..0000000 --- a/ingestion-data/transfer-config/tm54dvar-ch4flux-mask-monthgrid-v1.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "tm54dvar-ch4flux-mask-monthgrid-v1", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "tm54dvar-ch4flux-mask-monthgrid-v1/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/vulcan-ffco2-elc-res-yeargrid-v4.json b/ingestion-data/transfer-config/vulcan-ffco2-elc-res-yeargrid-v4.json deleted file mode 100644 index 7238fe4..0000000 --- a/ingestion-data/transfer-config/vulcan-ffco2-elc-res-yeargrid-v4.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "vulcan-ffco2-elc-res-yeargrid-v4", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "transformed_cogs/vulcan-ffco2-elc-res-yeargrid-v4/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*tif" -} diff --git a/ingestion-data/transfer-config/vulcan-ffco2-yeargrid-v4.json b/ingestion-data/transfer-config/vulcan-ffco2-yeargrid-v4.json deleted file mode 100644 index 35a9ba0..0000000 --- a/ingestion-data/transfer-config/vulcan-ffco2-yeargrid-v4.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "collection": "vulcan-ffco2-yeargrid-v4", - "origin_bucket": "ghgc-data-store-develop", - "origin_prefix": "transformed_cogs/vulcan-ffco2-yeargrid-v4/", - "target_bucket": "ghgc-data-store", - "filename_regex": ".*_CO2_USA_mosaic_grid_1km_mn_.*.tif$" -}