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Updated GEE STAC IDs list 2024-01-11 00:56:18 UTC
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actions-user committed Jan 11, 2024
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16 changes: 14 additions & 2 deletions eemont/data/ee-catalog-ids.json
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"gee:type": "image_collection",
"href": "https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD19A1_GRANULES.json",
"sci:citation": "Please visit [LP DAAC 'Citing Our Data' page](https://lpdaac.usgs.gov/citing_our_data)\nfor information on citing LP DAAC datasets.\n",
"sci:doi": "DOI not available"
"sci:doi": "10.5067/MODIS/MCD19A1.061"
},
"MODIS/061/MCD19A2_GRANULES": {
"gee:type": "image_collection",
"href": "https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD19A2_GRANULES.json",
"sci:citation": "Please visit [LP DAAC 'Citing Our Data' page](https://lpdaac.usgs.gov/citing_our_data)\nfor information on citing LP DAAC datasets.\n",
"sci:doi": "DOI not available"
"sci:doi": "10.5067/MODIS/MCD19A2.061"
},
"MODIS/061/MCD43A1": {
"gee:type": "image_collection",
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"sci:citation": "Ketchum, D.; Jencso, K.; Maneta, M.P.; Melton, F.; Jones, M.O.; Huntington, J.\nIrrMapper: A Machine Learning Approach for High Resolution Mapping of\nIrrigated Agriculture Across the Western U.S.,\nRemote Sens. 2020, 12, 2328. [doi:10.3390/rs12142328](https://doi.org/10.3390/rs12142328)\n",
"sci:doi": "DOI not available"
},
"UMT/Climate/IrrMapper_RF/v1_2": {
"gee:type": "image_collection",
"href": "https://storage.googleapis.com/earthengine-stac/catalog/UMT/UMT_Climate_IrrMapper_RF_v1_2.json",
"sci:citation": "\nKetchum, D.; Jencso, K.; Maneta, M.P.; Melton, F.; Jones, M.O.; Huntington, J.\nIrrMapper: A Machine Learning Approach for High Resolution Mapping of\nIrrigated Agriculture Across the Western U.S.,\nRemote Sens. 2020, 12, 2328. [doi:10.3390/rs12142328](https://doi.org/10.3390/rs12142328)\n\nKetchum, D., Hoylman, Z.H., Huntington, J. et al. Irrigation intensification impacts sustainability\nof streamflow in the Western United States. Commun Earth Environ 4, 479 (2023). [doi:10.1038/s43247-023-01152-2](https://doi.org/10.1038/s43247-023-01152-2)\n\n",
"sci:doi": "DOI not available"
},
"UMT/NTSG/v2/LANDSAT/GPP": {
"gee:type": "image_collection",
"href": "https://storage.googleapis.com/earthengine-stac/catalog/UMT/UMT_NTSG_v2_LANDSAT_GPP.json",
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"sci:citation": "Dewitz, J., 2023, National Land Cover Database (NLCD) 2021 Products:\nU.S. Geological Survey data release, [doi:10.5066/P9JZ7AO3](https://doi.org/10.5066/P9JZ7AO3)\n",
"sci:doi": "10.5066/P9JZ7AO3"
},
"USGS/NLCD_RELEASES/2021_REL/TCC/v2021-4": {
"gee:type": "image_collection",
"href": "https://storage.googleapis.com/earthengine-stac/catalog/USGS/USGS_NLCD_RELEASES_2021_REL_TCC_v2021-4.json",
"sci:citation": "USDA Forest Service. 2023. USFS Tree Canopy Cover v2021.4\n(Conterminous United States and Southeastern Alaska).\nSalt Lake City, Utah.\n",
"sci:doi": "DOI not available"
},
"USGS/SRTMGL1_003": {
"gee:type": "image",
"href": "https://storage.googleapis.com/earthengine-stac/catalog/USGS/USGS_SRTMGL1_003.json",
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