- |---| | [### BLM AIM TerrADat TerrestrialAIM Point v1 ![](https://developers.google.com/earth-engine/datasets/images/BLM/BLM_AIM_v1_TerrADat_TerrestrialAIM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/BLM_AIM_v1_TerrADat_TerrestrialAIM.md.txt) | | Since 2011, the Bureau of Land Management (BLM) has collected field information to inform land health through its Assessment Inventory and Monitoring (AIM) strategy. To date, more than 6,000 terrestrial AIM field plots have been collected over BLM lands. The BLM AIM data archive is ... | | [blm](https://developers.google.com/earth-engine/datasets/tags/blm.md.txt) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [range](https://developers.google.com/earth-engine/datasets/tags/range.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### ERA5-Land Daily Aggregated - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_DAILY_AGGR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Hourly - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_HOURLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Monthly Aggregated - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_MONTHLY_AGGR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_AGGR.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Static - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_STATIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_STATIC.md.txt) | | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (8-Daily 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_EVI_v061_1km_8-Daily_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_8-Daily.md.txt) | | The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. After gap-filling the data was clipped to ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Annual 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_EVI_v061_1km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_Annual.md.txt) | | The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. After gap-filling the data was clipped to ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Monthly 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_EVI_v061_1km_Monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_Monthly.md.txt) | | The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. After gap-filling the data was clipped to ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### GIMMS NDVI From AVHRR Sensors (3rd Generation) ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GIMMS_3GV0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GIMMS_3GV0.md.txt) | | GIMMS NDVI is generated from several NOAA's AVHRR sensors for a global 1/12-degree lat/lon grid. The latest version of the GIMMS NDVI dataset is named NDVI3g (third generation GIMMS NDVI from AVHRR sensors). | | [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### GPW Annual Dominant Class of Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c.md.txt) | | This dataset provides global annual dominant class maps of grasslands (cultivated and natural/semi-natural) from 2000 to 2022 at 30-m spatial resolution. Produced by the Land \& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### GPW Annual Probabilities of Cultivated Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p.md.txt) | | This dataset provides global annual probability maps of cultivated grassland from 2000 to 2022 at 30-m spatial resolution. Produced by the Land \& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### GPW Annual Probabilities of Natural/Semi-natural Grasslands v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p.md.txt) | | This dataset provides global annual probability maps of natural/semi-natural grassland from 2000 to 2022 at 30-m spatial resolution. Produced by the Land \& Carbon Lab Global Pasture Watch initiative, the mapped grassland extent includes any land cover type, which contains at least 30% of dry ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### GPW Annual short vegetation height v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_gsvh-30m_v1_short-veg-height_m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_gsvh-30m_v1_short-veg-height_m.md.txt) | | This dataset provides global median vegetation height from 2000 at 30-m spatial resolution. Produced by the Land \& Carbon Lab's Global Pasture Watch initiative, this dataset provides median vegetation height values (50th percentile) globally at 30-m spatial resolution from 2000 onwards. The dataset is based ... | | [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### GPW Annual uncalibrated Gross Primary Productivity (uGPP) v1 ![](https://developers.google.com/earth-engine/datasets/images/global-pasture-watch/projects_global-pasture-watch_assets_ggpp-30m_v1_ugpp_m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggpp-30m_v1_ugpp_m.md.txt) | | This dataset provides global uncalibrated EO-based Gross Primary Productivity from 2000 at 30-m spatial resolution. Produced by the Land \& Carbon Lab Global Pasture Watch initiative, the current dataset provides Gross Primary Productivity (GPP) values globally at 30-m spatial resolution from 2000 onwards. GPP values ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [global-pasture-watch](https://developers.google.com/earth-engine/datasets/tags/global-pasture-watch.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### Global Aboveground and Belowground Biomass Carbon Density Maps ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ORNL_biomass_carbon_density_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_biomass_carbon_density_v1.md.txt) | | This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The aboveground biomass map integrates land-cover specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were ... | | [aboveground](https://developers.google.com/earth-engine/datasets/tags/aboveground.md.txt) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [density](https://developers.google.com/earth-engine/datasets/tags/density.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 12KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_12KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_12KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 1KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_1KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_1KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density with COUNTS metrics, 6KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_6KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_COUNTS_V1_6KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density, 12KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_V1_12KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_V1_12KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density, 1KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_V1_1KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_V1_1KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### Gridded GEDI Vegetation Structure Metrics and Biomass Density, 6KM pixel size ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GRIDDEDVEG_002_V1_6KM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GRIDDEDVEG_002_V1_6KM.md.txt) | | This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [gedi](https://developers.google.com/earth-engine/datasets/tags/gedi.md.txt) [larse](https://developers.google.com/earth-engine/datasets/tags/larse.md.txt) | - |---| | [### LANDFIRE BPS (Biophysical Settings) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_BPS_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_BPS_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE ESP AK (Environmental Site Potential) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_ESP_v1_2_0_AK_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_ESP_v1_2_0_AK.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE ESP CONUS (Environmental Site Potential) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_ESP_v1_2_0_CONUS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_ESP_v1_2_0_CONUS.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE ESP HI (Environmental Site Potential) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_ESP_v1_2_0_HI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_ESP_v1_2_0_HI.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE EVC (Existing Vegetation Cover) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_EVC_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_EVC_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE EVH (Existing Vegetation Height) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_EVH_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_EVH_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE EVT (Existing Vegetation Type) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Vegetation_EVT_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Vegetation_EVT_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) | - |---| | [### LANDFIRE FRG (Fire Regime Groups) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_FRG_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_FRG_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE MFRI (Mean Fire Return Interval) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_MFRI_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_MFRI_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE PLS (Percent Low-severity Fire) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_PLS_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_PLS_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE PMS (Percent of Mixed-severity Fire) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_PMS_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_PMS_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE PRS (Percent of Replacement-severity Fire) v1.2.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_PRS_v1_2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_PRS_v1_2_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE SClass (Succession Classes) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_SClass_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_SClass_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE VCC (Vegetation Condition Class) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_VCC_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_VCC_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### LANDFIRE VDep (Vegetation Departure) v1.4.0 ![](https://developers.google.com/earth-engine/datasets/images/LANDFIRE/LANDFIRE_Fire_VDep_v1_4_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDFIRE_Fire_VDep_v1_4_0.md.txt) | | LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and ... | | [doi](https://developers.google.com/earth-engine/datasets/tags/doi.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [nature-conservancy](https://developers.google.com/earth-engine/datasets/tags/nature-conservancy.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 32-Day NDVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_NDVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_NDVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Vegetation Index is generated from the Near-IR and Red bands of each scene as (NIR - Red) / (NIR + Red), and ranges in ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 8-Day EVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_EVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_EVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Enhanced Vegetation Index (EVI) is generated from the Near-IR, Red and Blue bands of each scene, and ranges in value from -1.0 to 1.0. See Huete ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 8-Day NDVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_NDVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_8DAY_NDVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Vegetation Index is generated from the Near-IR and Red bands of each scene as (NIR - Red) / (NIR + Red), and ranges in ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 Annual EVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_EVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_EVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Enhanced Vegetation Index (EVI) is generated from the Near-IR, Red and Blue bands of each scene, and ranges in value from -1.0 to 1.0. See Huete ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### Landsat Collection 2 Tier 1 Level 2 Annual NDVI Composite ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_NDVI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_ANNUAL_NDVI.md.txt) | | These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Normalized Difference Vegetation Index is generated from the Near-IR and Red bands of each scene as (NIR - Red) / (NIR + Red), and ranges in ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [landsat-composite](https://developers.google.com/earth-engine/datasets/tags/landsat-composite.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) | - |---| | [### MCD15A3H.061 MODIS Leaf Area Index/FPAR 4-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD15A3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD15A3H.md.txt) | | The MCD15A3H Version 6.1 Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4, Combined Fraction of Photosynthetically Active Radiation (FPAR), and Leaf Area Index (LAI) product is a 4-day composite data set with 500 meter pixel size. The algorithm chooses the best pixel available from all the ... | | [fpar](https://developers.google.com/earth-engine/datasets/tags/fpar.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lai](https://developers.google.com/earth-engine/datasets/tags/lai.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### MOD13A1.061 Terra Vegetation Indices 16-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A1.md.txt) | | The MOD13A1 V6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) | - |---| | [### MOD13A2.061 Terra Vegetation Indices 16-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A2.md.txt) | | The MOD13A2 V6.1 product provides two Vegetation Indices (VI): the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). The NDVI is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) | - |---| | [### MOD13A3.061 Vegetation Indices Monthly L3 Global 1 km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13A3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A3.md.txt) | | The MOD13A3 V6.1 product data is provided monthly at 1 kilometer (km) spatial resolution. In generating this monthly product, the algorithm ingests all the MOD13A2 products that overlap the month and employs a weighted temporal average. Vegetation indices are used for global monitoring of vegetation ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) | - |---| | [### MOD13C1.061: Terra Vegetation Indices 16-Day L3 Global 0.05 Deg Climate Modeling Grid ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13C1.md.txt) | | The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MOD13C1) Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which maintains continuity with the ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### MOD13Q1.061 Terra Vegetation Indices 16-Day Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13Q1.md.txt) | | The MOD13Q1 V6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) | - |---| | [### MOD44B.061 Terra Vegetation Continuous Fields Yearly Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD44B_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD44B.md.txt) | | The Terra MODIS Vegetation Continuous Fields (VCF) product is a sub-pixel-level representation of surface vegetation cover estimates globally. Designed to continuously represent Earth's terrestrial surface as a proportion of basic vegetation traits, it provides a gradation of three surface cover components: percent tree cover, percent ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD13A1.061 Aqua Vegetation Indices 16-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A1.md.txt) | | The MYD13A1 V6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD13A2.061 Aqua Vegetation Indices 16-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A2.md.txt) | | The MYD13A2 V6.1 product provides two Vegetation Indices (VI): the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). The NDVI is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD13A3.061 Aqua Vegetation Indices Monthly L3 Global 1 km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13A3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A3.md.txt) | | The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MYD13A3) Version 6.1 data are provided monthly at 1 kilometer (km) spatial resolution as a gridded Level 3 product in the sinusoidal projection. In generating this monthly product, the algorithm ingests all the MYD13A2 products that ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD13C1.061: Aqua Vegetation Indices 16-Day L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13C1.md.txt) | | The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MYD13C1) Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which maintains continuity with the ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### MYD13Q1.061 Aqua Vegetation Indices 16-Day Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13Q1.md.txt) | | The MYD13Q1 V6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEON Canopy Height Model (CHM) ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_CHM_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_CHM_001.md.txt) | | Height of the top of canopy above bare earth (Canopy Height Model; CHM). The CHM is derived from the NEON LiDAR point cloud and is generated by creating a continuous surface of canopy height estimates across the entire spatial domain of the LiDAR survey. The ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### NEON Canopy Nitrogen Content (CNC) ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_CNC_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_CNC_002.md.txt) | | Modelled canopy nitrogen concentration calibrated with NEON plant foliar chemistry observations and predicted with L1 surface directional reflectance, derived from the NEON Imaging Spectrometer (NIS). Bands include 1) canopy nitrogen percent, 2) canopy nitrogen model uncertainty, 3) classification result for needle vs. non-needle model and ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [hyperspectral](https://developers.google.com/earth-engine/datasets/tags/hyperspectral.md.txt) [neon](https://developers.google.com/earth-engine/datasets/tags/neon.md.txt) | - |---| | [### NEON Digital Elevation Model (DEM) ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_DEM_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_DEM_001.md.txt) | | Digital models of the surface (DSM) and terrain (DTM) derived from NEON LiDAR data. DSM: Surface features (topographic information with vegetation and man-made structures present). DTM: Bare earth elevation (topographic information with vegetation and man-made structures removed). Images are given in meters above mean sea ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [lidar](https://developers.google.com/earth-engine/datasets/tags/lidar.md.txt) | - |---| | [### NEON RGB Camera Imagery ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_RGB_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_RGB_001.md.txt) | | High resolution Red-Green-Blue (RGB) orthorectified camera images mosaicked and output onto a fixed, uniform spatial grid using nearest-neighbor resampling; spatial resolution is 0.1 m. The digital camera is part of a suite of instruments on the NEON Airborne Observation Platform (AOP) that also includes a ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [neon](https://developers.google.com/earth-engine/datasets/tags/neon.md.txt) [neon-prod-earthengine](https://developers.google.com/earth-engine/datasets/tags/neon-prod-earthengine.md.txt) [orthophoto](https://developers.google.com/earth-engine/datasets/tags/orthophoto.md.txt) | - |---| | [### NEON Surface Bidirectional Reflectance ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_HSI_REFL_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_HSI_REFL_002.md.txt) | | The NEON AOP Surface Bidirectional Reflectance is a hyperspectral VSWIR (visible to shortwave infrared) data product, containing 426 bands spanning wavelengths from \~380 nm to 2510 nm. Reflectance is scaled by a factor of 10000. Wavelengths between 1340-1445 nm and 1790-1955 nm are set to ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [highres](https://developers.google.com/earth-engine/datasets/tags/highres.md.txt) [hyperspectral](https://developers.google.com/earth-engine/datasets/tags/hyperspectral.md.txt) [neon](https://developers.google.com/earth-engine/datasets/tags/neon.md.txt) [neon-prod-earthengine](https://developers.google.com/earth-engine/datasets/tags/neon-prod-earthengine.md.txt) | - |---| | [### NEON Surface Directional Reflectance ![](https://developers.google.com/earth-engine/datasets/images/neon-prod-earthengine/projects_neon-prod-earthengine_assets_HSI_REFL_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_HSI_REFL_001.md.txt) | | The NEON AOP Surface Directional Reflectance is a hyperspectral VSWIR (visible to shortwave infrared) data product, containing 426 bands spanning wavelengths from \~380 nm to 2510 nm. Reflectance is scaled by a factor of 10000. Wavelengths between 1340-1445 nm and 1790-1955 nm are set to ... | | [airborne](https://developers.google.com/earth-engine/datasets/tags/airborne.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [hyperspectral](https://developers.google.com/earth-engine/datasets/tags/hyperspectral.md.txt) [neon](https://developers.google.com/earth-engine/datasets/tags/neon.md.txt) [neon-prod-earthengine](https://developers.google.com/earth-engine/datasets/tags/neon-prod-earthengine.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DIST_L3_DIST-ANN-HLS_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DIST_L3_DIST-ANN-HLS_V1.md.txt) | | The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) product Version 1 summarizes the DIST-ALERT data product into an annual vegetation disturbance data product. The DIST-ANN-HLS product provides annual metrics and classifications of vegetation disturbance ... | | [disturbance](https://developers.google.com/earth-engine/datasets/tags/disturbance.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (8-Daily 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCB_v061_1km_8-Daily_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCB_v061_1km_8-Daily.md.txt) | | This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcb](https://developers.google.com/earth-engine/datasets/tags/tcb.md.txt) | - |---| | [### TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (Annual 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCB_v061_1km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCB_v061_1km_Annual.md.txt) | | This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcb](https://developers.google.com/earth-engine/datasets/tags/tcb.md.txt) | - |---| | [### TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (Monthly 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCB_v061_1km_Monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCB_v061_1km_Monthly.md.txt) | | This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcb](https://developers.google.com/earth-engine/datasets/tags/tcb.md.txt) | - |---| | [### TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (8-Daily 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCW_v061_1km_8-Daily_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCW_v061_1km_8-Daily.md.txt) | | This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcw](https://developers.google.com/earth-engine/datasets/tags/tcw.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (Annual 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCW_v061_1km_Annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCW_v061_1km_Annual.md.txt) | | This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcw](https://developers.google.com/earth-engine/datasets/tags/tcw.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (Monthly 1km) ![](https://developers.google.com/earth-engine/datasets/images/malariaatlasproject/projects_malariaatlasproject_assets_TCW_v061_1km_Monthly_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_TCW_v061_1km_Monthly.md.txt) | | This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by ... | | [malariaatlasproject](https://developers.google.com/earth-engine/datasets/tags/malariaatlasproject.md.txt) [map](https://developers.google.com/earth-engine/datasets/tags/map.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [tasseled-cap](https://developers.google.com/earth-engine/datasets/tags/tasseled-cap.md.txt) [tcw](https://developers.google.com/earth-engine/datasets/tags/tcw.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### USFS TreeMap 2023-1 ![](https://developers.google.com/earth-engine/datasets/images/gtac-data-publish/projects_gtac-data-publish_assets_TreeMap_Product_Version_2023-1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gtac-data-publish_assets_TreeMap_Product_Version_2023-1.md.txt) | | TreeMap datasets provide detailed spatial information on forest characteristics across the entire forested extent of the Conterminous United States (CONUS) for the years 2016, 2020, 2022, and 2023. TreeMap 2014 is also available for CONUS but not included in this data archive. TreeMap 2024 is ... | | [aboveground](https://developers.google.com/earth-engine/datasets/tags/aboveground.md.txt) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) | - |---| | [### USGS GAP Alaska 2001 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_AK_2001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_AK_2001.md.txt) | | The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Alaska ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [gap](https://developers.google.com/earth-engine/datasets/tags/gap.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### USGS GAP CONUS 2011 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_CONUS_2011_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_CONUS_2011.md.txt) | | The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Alaska ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [gap](https://developers.google.com/earth-engine/datasets/tags/gap.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### USGS GAP Hawaii 2001 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_HI_2001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_HI_2001.md.txt) | | The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Alaska ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [gap](https://developers.google.com/earth-engine/datasets/tags/gap.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### USGS GAP Puerto Rico 2001 ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GAP_PR_2001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GAP_PR_2001.md.txt) | | The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico.GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Alaska ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems.md.txt) [gap](https://developers.google.com/earth-engine/datasets/tags/gap.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landfire](https://developers.google.com/earth-engine/datasets/tags/landfire.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [vegetation](https://developers.google.com/earth-engine/datasets/tags/vegetation.md.txt) | - |---| | [### VJ213A1: VIIRS Vegetation Indices 16-Day 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ213A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ213A1.md.txt) | | The Joint Polar Satellite System (JPSS-2) / NOAA-21 NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VJ213A1) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 500 meter resolution. The VJ213 ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [noaa21](https://developers.google.com/earth-engine/datasets/tags/noaa21.md.txt) | - |---| | [### VNP13A1.002: VIIRS Vegetation Indices 16-Day 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP13A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP13A1.md.txt) | | The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13A1) data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 500 meter resolution. The VNP13 data products are designed ... | | [16-day](https://developers.google.com/earth-engine/datasets/tags/16-day.md.txt) [evi](https://developers.google.com/earth-engine/datasets/tags/evi.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) | - |---| | [### VNP22Q2.002: Land Surface Phenology Yearly L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP22Q2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP22Q2.md.txt) | | The Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Phenology Yearly (VNP22Q2) Version 2 data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22Q2 data product is derived from time series of the two-band ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) [onset-greenness](https://developers.google.com/earth-engine/datasets/tags/onset-greenness.md.txt) |