- |---| | [### 2000 Greenland Mosaic - Greenland Ice Mapping Project (GIMP) ![](https://developers.google.com/earth-engine/datasets/images/OSU/OSU_GIMP_2000_IMAGERY_MOSAIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OSU_GIMP_2000_IMAGERY_MOSAIC.md.txt) | | This dataset provides a complete 15 m resolution image mosaic of the Greenland ice sheet derived from Landsat 7 ETM+ and RADARSAT-1 SAR imagery from the years 1999 to 2002. The methods include a combination of image cloud masking, pan sharpening, image sampling and resizing, ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [gimp](https://developers.google.com/earth-engine/datasets/tags/gimp.md.txt) [greenland](https://developers.google.com/earth-engine/datasets/tags/greenland.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polar](https://developers.google.com/earth-engine/datasets/tags/polar.md.txt) | - |---| | [### AERDB_D3_VIIRS_NOAA20.002: VIIRS/NOAA-20 Deep Blue Aerosol Optical Depth Daily L3 Global 1.0 Deg Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_AERDB_D3_VIIRS_NOAA20_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_AERDB_D3_VIIRS_NOAA20.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) Deep Blue Level-3 Daily Global 1-Degree Gridded product (AERDB_D3_VIIRS_NOAA20) provides daily global gridded aerosol parameters derived from the NOAA-20 (JPSS-1) VIIRS sensor. Data are generated using the Deep Blue (DB) algorithm over land and the Satellite Aerosol for ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aot](https://developers.google.com/earth-engine/datasets/tags/aot.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### AERDB_D3_VIIRS_SNPP.002: VIIRS/SNPP Deep Blue Aerosol Optical Depth Daily L3 Global 1.0 Deg Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_AERDB_D3_VIIRS_SNPP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_AERDB_D3_VIIRS_SNPP.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) Deep Blue Level-3 Daily Global 1-Degree Gridded product (AERDB_D3_VIIRS_SNPP) provides daily global gridded aerosol parameters derived from the Suomi National Polar-orbiting Partnership (SNPP) VIIRS sensor. Data are generated using the Deep Blue (DB) algorithm over land and the ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aot](https://developers.google.com/earth-engine/datasets/tags/aot.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### AG100: ASTER Global Emissivity Dataset 100-meter V003 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ASTER_GED_AG100_003_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ASTER_GED_AG100_003.md.txt) | | The Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Emissivity Database (ASTER-GED) was developed by the National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology. This product includes the mean emissivity and standard deviation for all 5 ASTER Thermal Infrared ... | | [aster](https://developers.google.com/earth-engine/datasets/tags/aster.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [infrared](https://developers.google.com/earth-engine/datasets/tags/infrared.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) | - |---| | [### ASTER L1T Radiance ![](https://developers.google.com/earth-engine/datasets/images/ASTER/ASTER_AST_L1T_003_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ASTER_AST_L1T_003.md.txt) | | Note: There is a gap in data collection between November 28, 2024 and January 16, 2025 due to technical issues with the ASTER instrument. See the USGS announcement for more information. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a multispectral imager that ... | | [aster](https://developers.google.com/earth-engine/datasets/tags/aster.md.txt) [imagery](https://developers.google.com/earth-engine/datasets/tags/imagery.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [nir](https://developers.google.com/earth-engine/datasets/tags/nir.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Daymet V4: Daily Surface Weather and Climatological Summaries ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ORNL_DAYMET_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_DAYMET_V4.md.txt) | | Daymet V4 provides gridded estimates of daily weather parameters for Continental North America, Hawaii, and Puerto Rico (Data for Puerto Rico is available starting in 1950). It is derived from selected meteorological station data and various supporting data sources. Compared to the previous version, Daymet ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [daylight](https://developers.google.com/earth-engine/datasets/tags/daylight.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Dynamic Surface Water Extent from Harmonized Landsat Sentinel-2 (DSWx-HLS) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DSWX_L3_V1_HLS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DSWX_L3_V1_HLS.md.txt) | | This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described in the product documentation. The input dataset for generating each product is the Harmonized ... | | [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) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### Dynamic Surface Water Extent from Sentinel-1 (DSWx-S1) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DSWX_L3_V1_S1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DSWX_L3_V1_S1.md.txt) | | This dataset contains Level-3 Dynamic OPERA surface water extent from Sentinel-1 (DSWX-S1). DSWx-S1 provides near-global geographical mapping of surface water extent over land at a spatial resolution of 30 meters over the Military Grid reference System (MGRS) grid system, with a temporal revisit frequency between ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_EMIT_L1B_RAD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L1B_RAD.md.txt) | | The EMIT Project is part of the Earth Venture-Instrument (EV-I) Program directed by the Program Director of the NASA Earth Science Division (ESD). EMIT is comprised of a VSWIR Infrared Dyson imaging spectrometer adapted for installation on the International Space Station (ISS). EMIT measures radiance ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [radiance](https://developers.google.com/earth-engine/datasets/tags/radiance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_EMIT_L2A_RFL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2A_RFL.md.txt) | | The EMIT Project is part of the Earth Venture-Instrument (EV-I) Program directed by the Program Director of the NASA Earth Science Division (ESD). EMIT is comprised of a VSWIR Infrared Dyson imaging spectrometer adapted for installation on the International Space Station (ISS). EMIT measures radiance ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### Earth Surface Mineral Dust Source Investigation- Methane Enhancement ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_EMIT_L2B_CH4ENH_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2B_CH4ENH.md.txt) | | The EMIT Project is part of the Earth Venture-Instrument (EV-I) Program directed by the Program Director of the NASA Earth Science Division (ESD). EMIT is comprised of a VSWIR Infrared Dyson imaging spectrometer adapted for installation on the International Space Station (ISS). EMIT measures radiance ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Earth Surface Mineral Dust Source Investigation- Methane Plume Complexes ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_EMIT_L2B_CH4PLM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2B_CH4PLM.md.txt) | | The EMIT Project is part of the Earth Venture-Instrument (EV-I) Program directed by the Program Director of the NASA Earth Science Division (ESD). EMIT is comprised of a VSWIR Infrared Dyson imaging spectrometer adapted for installation on the International Space Station (ISS). EMIT measures radiance ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emit](https://developers.google.com/earth-engine/datasets/tags/emit.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### FIRMS: Fire Information for Resource Management System ![](https://developers.google.com/earth-engine/datasets/images/FIRMS/FIRMS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FIRMS.md.txt) | | The Earth Engine version of the Fire Information for Resource Management System (FIRMS) dataset contains the LANCE fire detection product in rasterized form. The near real-time (NRT) active fire locations are processed by LANCE using the standard MODIS MOD14/MYD14 Fire and Thermal Anomalies product. Each ... | | [eosdis](https://developers.google.com/earth-engine/datasets/tags/eosdis.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [firms](https://developers.google.com/earth-engine/datasets/tags/firms.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hotspot](https://developers.google.com/earth-engine/datasets/tags/hotspot.md.txt) [lance](https://developers.google.com/earth-engine/datasets/tags/lance.md.txt) | - |---| | [### FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_FLDAS_NOAH01_C_GL_M_V001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001.md.txt) | | The FLDAS dataset (McNally et al. 2017), was designed to assist with food security assessments in data-sparse, developing country settings. It includes information on many climate-related variables including moisture content, humidity, evapotranspiration, average soil temperature, total precipitation rate, etc. There are multiple different FLDAS datasets; ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [ldas](https://developers.google.com/earth-engine/datasets/tags/ldas.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### GEDI L2A Raster Canopy Top Height (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_A_002_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002_MONTHLY.md.txt) | | GEDI's Level 2A Geolocated Elevation and Height Metrics Product (GEDI02_A) is primarily composed of 100 Relative Height (RH) metrics, which collectively describe the waveform collected by GEDI. The original GEDI02_A product is a table of point with a spatial resolution (average footprint) of 25 meters. ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L2A Vector Canopy Top Height (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_A_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002.md.txt) | | GEDI's Level 2A Geolocated Elevation and Height Metrics Product (GEDI02_A) is primarily composed of 100 Relative Height (RH) metrics, which collectively describe the waveform collected by GEDI. The original GEDI02_A product is a table of point with a spatial resolution (average footprint) of 25 meters. ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L2A table index ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_A_002_INDEX_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002_INDEX.md.txt) | | This is a feature collection created from the geometries of L2A tables in LARSE/GEDI/GEDI02_A_002. Each feature is a polygon footprint of a source table with its asset id and start/end timestamps. Please see User Guide for more information. The Global Ecosystem Dynamics Investigation GEDI mission ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### GEDI L2B Raster Canopy Cover Vertical Profile Metrics (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_B_002_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002_MONTHLY.md.txt) | | GEDI Level 2B Canopy Cover and Vertical Profile Metrics product (GEDI02_B) extracts biophysical metrics from each GEDI waveform. These metrics are based on the directional gap probability profile derived from the L1B waveform. The vertical step between foliage profile measurements (known as dZ in GEDI ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L2B Vector Canopy Cover Vertical Profile Metrics (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_B_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002.md.txt) | | GEDI Level 2B Canopy Cover and Vertical Profile Metrics product (GEDI02_B) extracts biophysical metrics from each GEDI waveform. These metrics are based on the directional gap probability profile derived from the L1B waveform. The vertical step between foliage profile measurements (known as dZ in GEDI ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L2B table index ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI02_B_002_INDEX_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002_INDEX.md.txt) | | This is a feature collection created from the geometries of L2B tables in LARSE/GEDI/GEDI02_B_002. Each feature is a polygon footprint of a source table with its asset id and start/end timestamps. Please see User Guide for more information. The Global Ecosystem Dynamics Investigation GEDI mission ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### GEDI L4A Aboveground Biomass Density, Version 2.1 ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_A_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002.md.txt) | | This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) Version 2 predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. In this version, the granules are in sub-orbits. Height metrics ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L4A Raster Aboveground Biomass Density, Version 2.1 ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_A_002_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002_MONTHLY.md.txt) | | This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) Version 2 predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. In this version, the granules are in sub-orbits. Height metrics ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L4A table index ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_A_002_INDEX_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002_INDEX.md.txt) | | This is a feature collection created from the geometries of L4A tables in LARSE/GEDI/GEDI04_A_002. Each feature is a polygon footprint of a source table with its asset id and start/end timestamps. Please see User Guide for more information. The Global Ecosystem Dynamics Investigation GEDI mission ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) | - |---| | [### GEDI L4B Gridded Aboveground Biomass Density (Version 2) ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_B_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_B_002.md.txt) | | This Global Ecosystem Dynamics Investigation (GEDI) L4B product provides 1 km x 1 km estimates of mean aboveground biomass density (AGBD) based on observations from mission week 19 starting on 2019-04-18 to mission week 138 ending on 2021-08-04. The GEDI L4A Footprint Biomass product converts ... | | [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [tree-cover](https://developers.google.com/earth-engine/datasets/tags/tree-cover.md.txt) | - |---| | [### GEDI L4D Imputed Waveforms, Version 2 ![](https://developers.google.com/earth-engine/datasets/images/LARSE/LARSE_GEDI_GEDI04_D_002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_D_002.md.txt) | | The GEDI Level 4D (L4D) product provides a 30-m spatial elaboration of the mission's sample of footprint-level L2A V002, L2B V002, and L4A Version 2.1 products globally between latitudes -51.6 and 51.6 degrees. A k-nearest neighbors (k-NN) algorithm was used with Landsat time series data ... | | [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass.md.txt) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.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) | - |---| | [### GEOS-CF Ana htf v2: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v2_ana_htf_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v2_ana_htf.md.txt) | | This dataset contains analysis (ana) of high-temporal frequency data (htf) at 15 minute intervals. It is created from the original GEOS-CF collection htf_inst_15mn_glo_L1440x721_slv. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and Assimilation Office(GMAO). ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [geos-cf](https://developers.google.com/earth-engine/datasets/tags/geos-cf.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) | - |---| | [### GEOS-CF ana tavg1hr v2: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v2_ana_tavg1hr_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v2_ana_tavg1hr.md.txt) | | This dataset contains meteorological analysis (ana) of time-average one hour data (tavg1hr). It is built by merging the original GEOS-CF collections chm_tavg_1hr_glo_L1440x721_slv, met_tavg_1hr_glo_L1440x721_slv, and xgc_tavg_1hr_glo_L1440x721_slv. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [geos-cf](https://developers.google.com/earth-engine/datasets/tags/geos-cf.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) | - |---| | [### GEOS-CF fcst htf v1: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v1_fcst_htf_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_htf.md.txt) | | This dataset contains meteorological forecast (fcst) of high-temporal frequency data (htf). Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and Assimilation Office (GMAO). ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GEOS-CF fcst htf v2: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v2_fcst_htf_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v2_fcst_htf.md.txt) | | This dataset contains forecast (fcst) of high-temporal frequency data (htf) at 15 minute intervals. It is created from the original GEOS-CF collection htf_inst_15mn_glo_L1440x721_slv. Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [geos-cf](https://developers.google.com/earth-engine/datasets/tags/geos-cf.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) | - |---| | [### GEOS-CF fcst tavg1hr v1: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v1_fcst_tavg1hr_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_tavg1hr.md.txt) | | This dataset contains meteorological forecast (fcst) of time-averaged frequency data (tavg1hr). Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and Assimilation Office (GMAO). ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GEOS-CF fcst tavg1hr v2: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v2_fcst_tavg1hr_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v2_fcst_tavg1hr.md.txt) | | This dataset contains forecast (fcst) of time-averaged frequency data (tavg1hr). It is built by merging the original GEOS-CF collections chm_tavg_1hr_glo_L1440x721_slv, met_tavg_1hr_glo_L1440x721_slv, and xgc_tavg_1hr_glo_L1440x721_slv. Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [geos-cf](https://developers.google.com/earth-engine/datasets/tags/geos-cf.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) | - |---| | [### GEOS-CF rpl htf v1: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v1_rpl_htf_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_htf.md.txt) | | This dataset contains meteorological replay (rpl) of high-temporal frequency data (htf). The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and Assimilation Office (GMAO). GEOS-CF offers a new tool for atmospheric chemistry research, with the ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GEOS-CF rpl tavg1hr v1: Goddard Earth Observing System Composition Forecast ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GEOS-CF_v1_rpl_tavg1hr_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_tavg1hr.md.txt) | | This dataset contains meteorological replay (rpl) of time-average one hour data (tavg1hr). It is built by merging the original GEOS-CF collections chm_tavg_1hr_g1440x721_v1, met_tavg_1hr_g1440x721_x1, and xgc_tavg_1hr_g1440x721_x1. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a global constituent prediction system from NASA's Global Modeling and ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [composition](https://developers.google.com/earth-engine/datasets/tags/composition.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geos](https://developers.google.com/earth-engine/datasets/tags/geos.md.txt) [gmao](https://developers.google.com/earth-engine/datasets/tags/gmao.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.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) | - |---| | [### GLCF: Landsat Global Inland Water ![](https://developers.google.com/earth-engine/datasets/images/GLCF/GLCF_GLS_WATER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GLCF_GLS_WATER.md.txt) | | The Global Inland Water dataset shows inland surface water bodies, including fresh and saline lakes, rivers, and reservoirs. From the GLS 2000 epoch, 3,650,723 km2 of inland water were identified, around three quarters of which were in North America and Asia. Boreal forests and tundra ... | | [glcf](https://developers.google.com/earth-engine/datasets/tags/glcf.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) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) [umd](https://developers.google.com/earth-engine/datasets/tags/umd.md.txt) [water](https://developers.google.com/earth-engine/datasets/tags/water.md.txt) | - |---| | [### GLDAS-2.1: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V021_NOAH_G025_T3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V021_NOAH_G025_T3H.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### GLDAS-2.2: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V022_CLSM_G025_DA1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V022_CLSM_G025_DA1D.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### GLIMS 2023: Global Land Ice Measurements From Space ![](https://developers.google.com/earth-engine/datasets/images/GLIMS/GLIMS_20230607_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GLIMS_20230607.md.txt) | | Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers. The project seeks to create a globally comprehensive inventory of land ice, including measurements of glacier area, geometry, surface velocity, and snow line ... | | [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [glacier](https://developers.google.com/earth-engine/datasets/tags/glacier.md.txt) [glims](https://developers.google.com/earth-engine/datasets/tags/glims.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GLIMS Current: Global Land Ice Measurements From Space ![](https://developers.google.com/earth-engine/datasets/images/GLIMS/GLIMS_current_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GLIMS_current.md.txt) | | Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers. The project seeks to create a globally comprehensive inventory of land ice, including measurements of glacier area, geometry, surface velocity, and snow line ... | | [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [glacier](https://developers.google.com/earth-engine/datasets/tags/glacier.md.txt) [glims](https://developers.google.com/earth-engine/datasets/tags/glims.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GPM: Global Precipitation Measurement (GPM) Release 07 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_V07_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_V07.md.txt) | | Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified algorithm that provides rainfall estimates combining data from all passive-microwave instruments in the GPM ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GPM: Monthly Global Precipitation Measurement (GPM) v6 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_MONTHLY_V06_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_MONTHLY_V06.md.txt) | | IMERG-Final version "06" stopped being produced in September, 2021. Version "07" is expected to be released in September 2022 Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### GPM: Monthly Global Precipitation Measurement (GPM) vRelease 07 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_MONTHLY_V07_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_MONTHLY_V07.md.txt) | | Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified algorithm that provides rainfall estimates combining data from all passive-microwave instruments in the GPM ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### GPWv411: Adjusted to Match 2015 Revision of UN WPP Country Totals (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_UNWPP-Adjusted_Population_Count_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_UNWPP-Adjusted_Population_Count.md.txt) | | This dataset contains estimates of the number of persons per 30 arc-second grid cell, consistent with national censuses and population registers with respect to relative spatial distribution but adjusted to match the 2015 Revision of UN World Population Prospects country totals. There is one image ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Basic Demographic Characteristics (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Basic_Demographic_Characteristics_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Basic_Demographic_Characteristics.md.txt) | | This dataset contains population estimates, by age and sex, per 30 arc-second grid cell consistent with national censuses and population registers. There is one image for each modeled age and sex category based on the 2010 round of Census. General Documentation The Gridded Population of ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Data Context (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Data_Context_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Data_Context.md.txt) | | This dataset categorizes pixels with estimated zero population based on information provided in the census documents. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Land Area (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Land_Area_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Land_Area.md.txt) | | This dataset contains the estimate of the surface area of land in square kilometers per pixel, excluding permanent ice and water, within each pixel, and was used to calculate the GPW v4.11 population density datasets. General Documentation The Gridded Population of World Version 4 (GPWv4), ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Mean Administrative Unit Area (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Mean_Administrative_Unit_Area_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Mean_Administrative_Unit_Area.md.txt) | | This dataset contains the mean area of the input unit(s) from which population count and density grids are created. General documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: National Identifier Grid (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_National_Identifier_Grid_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_National_Identifier_Grid.md.txt) | | This dataset represents the Census data source used to produce the GPW v4.11 populations estimates. Pixels that have the same value reflect the same data source, most often a country or territory. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Population Count (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Population_Count_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Population_Count.md.txt) | | This dataset contains estimates of the number of persons per 30 arc-second grid cell consistent with national censuses and population registers. There is one image for each modeled year. General Documentation Note: Because this collection has a pyramid policy of MEAN, zooming out results in ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Population Density (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Population_Density_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Population_Density.md.txt) | | This dataset contains estimates of the number of persons per square kilometer consistent with national censuses and population registers. There is one image for each modeled year. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: UN-Adjusted Population Density (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_UNWPP-Adjusted_Population_Density_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_UNWPP-Adjusted_Population_Density.md.txt) | | This dataset contains estimates of the number of persons per 30 arc-second grid cell, consistent with national censuses and population registers with respect to relative spatial distribution but adjusted to match the 2015 Revision of UN World Population Prospects country totals. There is one image ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### GPWv411: Water Area (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Water_Area_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Water_Area.md.txt) | | This dataset contains estimates of the water area (permanent ice and water) within each pixel, and was used to calculate the GPW v4.11 population density datasets. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### GPWv411: Water Mask (Gridded Population of the World Version 4.11) ![](https://developers.google.com/earth-engine/datasets/images/CIESIN/CIESIN_GPWv411_GPW_Water_Mask_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CIESIN_GPWv411_GPW_Water_Mask.md.txt) | | This dataset identifies water pixels; non-water pixels are masked. The water mask was used to exclude areas of water and permanent ice from the population allocation. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population ... | | [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [gpw](https://developers.google.com/earth-engine/datasets/tags/gpw.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### GRACE Monthly Mass Grids - Ocean EOFR ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_OCEAN_EOFR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_OCEAN_EOFR.md.txt) | | GRACE Tellus Monthly Mass Grids provides monthly gravitational anomalies relative to a 2004-2010 time-mean baseline. The data contained in this dataset are units of "Equivalent Water Thickness" which represent the deviations of mass in terms of vertical extent of water in centimeters. See the provider's ... | | [crs](https://developers.google.com/earth-engine/datasets/tags/crs.md.txt) [gfz](https://developers.google.com/earth-engine/datasets/tags/gfz.md.txt) [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) | - |---| | [### GRACE Monthly Mass Grids Release 06 Version 04 - Land ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_V04_LAND_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_V04_LAND.md.txt) | | The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE \& GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The equivalent water thickness represents the total terrestrial water storage anomalies ... | | [crs](https://developers.google.com/earth-engine/datasets/tags/crs.md.txt) [gfz](https://developers.google.com/earth-engine/datasets/tags/gfz.md.txt) [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GRACE Monthly Mass Grids Release 06 Version 04 - Ocean ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_V04_OCEAN_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_V04_OCEAN.md.txt) | | GRACE Tellus Monthly Mass Grids provides monthly gravitational anomalies relative to a 2004-2010 time-mean baseline. The data contained in this dataset are units of "Equivalent Water Thickness" which represent the deviations of mass in terms of vertical extent of water in centimeters. See the provider's ... | | [crs](https://developers.google.com/earth-engine/datasets/tags/crs.md.txt) [gfz](https://developers.google.com/earth-engine/datasets/tags/gfz.md.txt) [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) | - |---| | [### GRACE Monthly Mass Grids Release 6.3 Version 4 - Global Mascons ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_V04_MASCON_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_V04_MASCON.md.txt) | | This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.3Mv04). These data are provided in a single data file in netCDF format, and can be used for analysis ... | | [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [mascon](https://developers.google.com/earth-engine/datasets/tags/mascon.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GRACE Monthly Mass Grids Version 04 - Global Mascon (CRI Filtered) ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GRACE_MASS_GRIDS_V04_MASCON_CRI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_V04_MASCON_CRI.md.txt) | | This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.3Mv04). These data are provided in a single data file in netCDF format, and can be used for analysis ... | | [grace](https://developers.google.com/earth-engine/datasets/tags/grace.md.txt) [gravity](https://developers.google.com/earth-engine/datasets/tags/gravity.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [mascon](https://developers.google.com/earth-engine/datasets/tags/mascon.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GTOPO30: Global 30 Arc-Second Elevation ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GTOPO30_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GTOPO30.md.txt) | | GTOPO30 is a global digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). The DEM was derived from several raster and vector sources of topographic information. Completed in late 1996, GTOPO30 was developed over a three-year period through ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [topography](https://developers.google.com/earth-engine/datasets/tags/topography.md.txt) | - |---| | [### Global 2020 Forest Classification for IPCC Aboveground Biomass Tier 1 Estimates, V1 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ORNL_global_forest_classification_2020_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_global_forest_classification_2020_V1.md.txt) | | This dataset provides classes of global forests delineated by status/condition in 2020 at approximately 30m resolution. The data support generating Tier 1 estimates for Aboveground dry woody Biomass Density (AGBD) in natural forests in the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse ... | | [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) [classification](https://developers.google.com/earth-engine/datasets/tags/classification.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) | - |---| | [### 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) | - |---| | [### Global Forest Canopy Height, 2005 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_JPL_global_forest_canopy_height_2005_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_JPL_global_forest_canopy_height_2005.md.txt) | | This dataset represents global tree heights based on a fusion of spaceborne-lidar data (2005) from the Geoscience Laser Altimeter System (GLAS) and ancillary geospatial data. See Simard et al. (2011) for details. | | [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) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_MEASURES_GFCC_TC_v3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_MEASURES_GFCC_TC_v3.md.txt) | | The Landsat Vegetation Continuous Fields (VCF) tree cover layers contain estimates of the percentage of horizontal ground in each 30-m pixel covered by woody vegetation greater than 5 meters in height. The dataset is available for four epochs centered on the years 2000, 2005, 2010 ... | | [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) [glcf](https://developers.google.com/earth-engine/datasets/tags/glcf.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) [umd](https://developers.google.com/earth-engine/datasets/tags/umd.md.txt) | - |---| | [### Global Mangrove Forests Distribution, v1 (2000) ![](https://developers.google.com/earth-engine/datasets/images/LANDSAT/LANDSAT_MANGROVE_FORESTS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_MANGROVE_FORESTS.md.txt) | | The database was prepared using Landsat satellite data from the year 2000. More than 1,000 Landsat scenes obtained from the USGS Earth Resources Observation and Science Center (EROS) were classified using hybrid supervised and unsupervised digital image classification techniques. This database is the first, most ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [ciesin](https://developers.google.com/earth-engine/datasets/tags/ciesin.md.txt) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived.md.txt) [mangrove](https://developers.google.com/earth-engine/datasets/tags/mangrove.md.txt) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Backscatter ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_BACKSCATTER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_BACKSCATTER.md.txt) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [backscatter](https://developers.google.com/earth-engine/datasets/tags/backscatter.md.txt) [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Coherence ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_COHERENCE_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_COHERENCE.md.txt) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Decay Model Parameters ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_DECAY_MODEL_PARAMETERS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_DECAY_MODEL_PARAMETERS.md.txt) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Incidence Layover Shadow ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_INCIDENCE_LAYOVER_SHADOW_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_INCIDENCE_LAYOVER_SHADOW.md.txt) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### Greenland DEM - Greenland Mapping Project (GIMP) ![](https://developers.google.com/earth-engine/datasets/images/OSU/OSU_GIMP_DEM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OSU_GIMP_DEM.md.txt) | | This Digital Elevation Model (DEM) is constructed from a combination of ASTER and SPOT-5 DEM's for the ice sheet periphery and margin (i.e. below the equilbrium line elevation) south of approximately 82.5°N and AVHRR photoclinometry in the ice sheet interior and far north (Scambos and ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [gimp](https://developers.google.com/earth-engine/datasets/tags/gimp.md.txt) [greenland](https://developers.google.com/earth-engine/datasets/tags/greenland.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polar](https://developers.google.com/earth-engine/datasets/tags/polar.md.txt) | - |---| | [### Greenland Ice \& Ocean Mask - Greenland Mapping Project (GIMP) ![](https://developers.google.com/earth-engine/datasets/images/OSU/OSU_GIMP_2000_ICE_OCEAN_MASK_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OSU_GIMP_2000_ICE_OCEAN_MASK.md.txt) | | This dataset provides complete land ice and ocean classification masks at 15 m for the Greenland ice sheet. Ice cover was mapped using a combination of orthorectified panchromatic (band 8) imagery from the Landsat 7 Enhanced Thematic Mapper Plus (ETM+), distributed by the USGS, and ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [gimp](https://developers.google.com/earth-engine/datasets/tags/gimp.md.txt) [greenland](https://developers.google.com/earth-engine/datasets/tags/greenland.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.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) | - |---| | [### HLSL30: HLS-2 Landsat Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_HLS_HLSL30_v002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_HLS_HLSL30_v002.md.txt) | | The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance (SR) and top of atmosphere (TOA) brightness data from a virtual constellation of satellite sensors. The Operational Land Imager (OLI) is housed aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites, while the Multi-Spectral ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel](https://developers.google.com/earth-engine/datasets/tags/sentinel.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### HLSS30: HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_HLS_HLSS30_v002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_HLS_HLSS30_v002.md.txt) | | The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard Europe's Copernicus Sentinel-2A satellites. The combined measurement enables global observations of the land every 2-3 ... | | [landsat](https://developers.google.com/earth-engine/datasets/tags/landsat.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel](https://developers.google.com/earth-engine/datasets/tags/sentinel.md.txt) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) | - |---| | [### MCD12C1.061 MODIS Land Cover Type Yearly Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD12C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12C1.md.txt) | | The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Climate Modeling Grid (CMG) (MCD12C1) Version 6.1 data product provides a spatially aggregated and reprojected version of the tiled MCD12Q1 Version 6.1 data product. Maps of the International Geosphere-Biosphere Programme (IGBP), University of ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.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) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [yearly](https://developers.google.com/earth-engine/datasets/tags/yearly.md.txt) | - |---| | [### MCD12Q1.061 MODIS Land Cover Type Yearly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD12Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q1.md.txt) | | The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6.1 data product provides global land cover types at yearly intervals. The MCD12Q1 Version 6.1 data product is derived using supervised classifications of MODIS Terra and Aqua reflectance data. Land ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.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) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs.md.txt) [yearly](https://developers.google.com/earth-engine/datasets/tags/yearly.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) | - |---| | [### MCD19A1.061: Land Surface BRF Daily L2G Global 500m and 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD19A1_GRANULES_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A1_GRANULES.md.txt) | | The MCD19A1 Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Land Surface Bidirectional Reflectance Factor (BRF) gridded Level 2 product produced daily at 500 meter and 1 kilometer resolution. For more information see the MAIAC user guide. | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aod](https://developers.google.com/earth-engine/datasets/tags/aod.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [maiac](https://developers.google.com/earth-engine/datasets/tags/maiac.md.txt) | - |---| | [### MCD19A2.061: Terra \& Aqua MAIAC Land Aerosol Optical Depth Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD19A2_GRANULES_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A2_GRANULES.md.txt) | | The MCD19A2 V6.1 data product is a MODIS Terra and Aqua combined Multi-angle Implementation of Atmospheric Correction (MAIAC) Land Aerosol Optical Depth (AOD) gridded Level 2 product produced daily at 1 km resolution. For more information see the MAIAC user guide. NOTE: This product has ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [aod](https://developers.google.com/earth-engine/datasets/tags/aod.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) | - |---| | [### MCD43A1.061 MODIS BRDF-Albedo Model Parameters Daily 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A1.md.txt) | | The MCD43A1 V6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameters dataset is a 500 meter daily 16-day product. The Julian date represents the 9th day of the 16-day retrieval period, and consequently the observations are weighted to estimate the BRDF/Albedo for that day. ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) | - |---| | [### MCD43A2.061 MODIS BRDF-Albedo Quality Daily 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A2.md.txt) | | The MCD43A2 V6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Quality dataset is a 500 meter daily 16-day product. It contains all the quality information for the corresponding 16-day MCD43A3 Albedo and the MCD43A4 Nadir-BRDF (NBAR) products. The MCD43A2 contains individual band quality and observation ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) | - |---| | [### MCD43A3.061 MODIS Albedo Daily 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43A3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A3.md.txt) | | The MCD43A3 V6.1 Albedo Model dataset is a daily 16-day product. It provides both directional hemispherical reflectance (black sky albedo) and bihemispherical reflectance (white sky albedo) for each of the MODIS surface reflectance bands (band 1 through band 7) as well as 3 broad spectrum ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [black-sky](https://developers.google.com/earth-engine/datasets/tags/black-sky.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) | - |---| | [### MCD43A4.061 MODIS Nadir BRDF-Adjusted Reflectance Daily 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43A4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A4.md.txt) | | The MCD43A4 V6.1 Nadir Bidirectional Reflectance Distribution Function Adjusted Reflectance (NBAR) product provides 500 meter reflectance data of the MODIS "land" bands 1-7. These are adjusted using a bidirectional reflectance distribution function to model the values as if they were collected from a nadir view. ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) | - |---| | [### MCD43C3.061 BRDF/Albedo Daily L3 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD43C3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43C3.md.txt) | | The MCD43C3 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Albedo dataset is produced daily using 16 days of Terra and Aqua MODIS data in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). Data are temporally weighted to the ninth ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [black-sky](https://developers.google.com/earth-engine/datasets/tags/black-sky.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) | - |---| | [### MCD64A1.061 MODIS Burned Area Monthly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD64A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD64A1.md.txt) | | The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. The algorithm ... | | [burn](https://developers.google.com/earth-engine/datasets/tags/burn.md.txt) [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.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) [mcd64a1](https://developers.google.com/earth-engine/datasets/tags/mcd64a1.md.txt) | - |---| | [### MERRA-2 M2I3NVAER: Aerosol Mixing Ratio V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_aer_nv_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_aer_nv_2.md.txt) | | M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [dust](https://developers.google.com/earth-engine/datasets/tags/dust.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MERRA-2 M2T1NXAER: Aerosol Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_aer_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_aer_2.md.txt) | | M2T1NXAER (or tavg1_2d_aer_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea-salt, sulfate, and organic carbon), surface ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon.md.txt) [dust](https://developers.google.com/earth-engine/datasets/tags/dust.md.txt) [mass](https://developers.google.com/earth-engine/datasets/tags/mass.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) | - |---| | [### MERRA-2 M2T1NXSLV: Single-Level Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_slv_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_slv_2.md.txt) | | M2T1NXSLV (or tavg1_2d_slv_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) | - |---| | [### MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images Version 2 ![](https://developers.google.com/earth-engine/datasets/images/OSU/OSU_GIMP_ICE_VELOCITY_OPT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OSU_GIMP_ICE_VELOCITY_OPT.md.txt) | | This dataset, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of mean monthly velocity maps for selected glacier outlet areas. The maps are generated by tracking visible features between optical image pairs acquired by the Landsat ... | | [arctic](https://developers.google.com/earth-engine/datasets/tags/arctic.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [gimp](https://developers.google.com/earth-engine/datasets/tags/gimp.md.txt) [greenland](https://developers.google.com/earth-engine/datasets/tags/greenland.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MOD08_M3.061 Terra Atmosphere Monthly Global Product ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD08_M3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD08_M3.md.txt) | | MOD08_M3 V6.1 is an atmosphere global product that contains monthly 1 x 1 degree grid average values of atmospheric parameters. These parameters are related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. The ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.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) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### MOD09A1.061 Terra Surface Reflectance 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09A1.md.txt) | | The MOD09A1 V6.1 product provides an estimate of the surface spectral reflectance of Terra MODIS bands 1-7 at 500m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven reflectance bands is a quality layer and four observation ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.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) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) | - |---| | [### MOD09GA.061 Terra Surface Reflectance Daily Global 1km and 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09GA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09GA.md.txt) | | The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MOD09GA version 6.1 provides bands 1-7 in ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) | - |---| | [### MOD09GQ.061 Terra Surface Reflectance Daily Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09GQ_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09GQ.md.txt) | | The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MOD09GQ version 6.1 provides bands 1 and ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sr](https://developers.google.com/earth-engine/datasets/tags/sr.md.txt) | - |---| | [### MOD09Q1.061 Terra Surface Reflectance 8-Day Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD09Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09Q1.md.txt) | | The MOD09Q1 product provides an estimate of the surface spectral reflectance of bands 1 and 2 at 250m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the two reflectance bands, a quality layer is also included. For each ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [mod09q1](https://developers.google.com/earth-engine/datasets/tags/mod09q1.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) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MOD10A1.061 Terra Snow Cover Daily Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD10A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD10A1.md.txt) | | The MOD10A1 V6.1 Snow Cover Daily Global 500m product contains snow cover, snow albedo, fractional snow cover, and quality assessment (QA) data. Snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. General ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MOD10A2.061 Terra Snow Cover 8-Day L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD10A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD10A2.md.txt) | | MOD10A2 is a snow cover dataset from the MODIS on the Terra satellite. The dataset reports the maximum snow cover extent during an eight-day period at the resolution of 500 m. An eight-day compositing period was chosen because that is the exact ground track repeat ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.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) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MOD11A1.061 Terra Land Surface Temperature and Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD11A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A1.md.txt) | | The MOD11A1 V6.1 product provides daily land surface temperature (LST) and emissivity values in a 1200 x 1200 kilometer grid. The temperature value is derived from the MOD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.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) | - |---| | [### MOD11A2.061 Terra Land Surface Temperature and Emissivity 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD11A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A2.md.txt) | | The MOD11A2 V6.1 product provides an average 8-day land surface temperature (LST) in a 1200 x 1200 kilometer grid. Each pixel value in MOD11A2 is a simple average of all the corresponding MOD11A1 LST pixels collected within that 8 day period. The MOD11A2 does a ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.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) | - |---| | [### MOD14A1.061: Terra Thermal Anomalies \& Fire Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD14A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD14A1.md.txt) | | The MOD14A1 V6.1 dataset provides daily fire mask composites at 1km resolution derived from the MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.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) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) | - |---| | [### MOD14A2.061: Terra Thermal Anomalies \& Fire 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD14A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD14A2.md.txt) | | The MOD14A2 V6.1 dataset provides 8-day fire mask composites at 1km resolution. It contains the maximum value of the individual pixel classes over the compositing period. Along with the fire mask, an associated quality information layer is also provided. Documentation: User's Guide Algorithm Theoretical Basis ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.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) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) | - |---| | [### MOD15A2H.061: Terra Leaf Area Index/FPAR 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD15A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD15A2H.md.txt) | | The MOD15A2H V6.1 MODIS combined Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is an 8-day composite dataset at 500m resolution. The algorithm chooses the "best" pixel available from all the acquisitions of the Terra sensor from within the 8-day period. ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [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) | - |---| | [### MOD16A2.061: Terra Net Evapotranspiration 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD16A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD16A2.md.txt) | | The MOD16A2 Version 6.1 Evapotranspiration/Latent Heat Flux product is an 8-day composite product produced at 500 meter pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [mod16a2](https://developers.google.com/earth-engine/datasets/tags/mod16a2.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) | - |---| | [### MOD16A2GF.061: Terra Net Evapotranspiration Gap-Filled 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD16A2GF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD16A2GF.md.txt) | | The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16A2GF Version 6.1 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled 8-day composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.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) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### MOD17A2H.061: Terra Gross Primary Productivity 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD17A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A2H.md.txt) | | The MOD17A2H V6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite with a 500m pixel size. The product is based on the radiation-use efficiency concept and can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.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) [photosynthesis](https://developers.google.com/earth-engine/datasets/tags/photosynthesis.md.txt) | - |---| | [### MOD17A2HGF.061: Terra Gross Primary Productivity 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD17A2HGF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A2HGF.md.txt) | | The MOD17A2HGF Version 6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter (m) pixel size based on the radiation use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.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) [photosynthesis](https://developers.google.com/earth-engine/datasets/tags/photosynthesis.md.txt) | - |---| | [### MOD17A3HGF.061: Terra Net Primary Production Gap-Filled Yearly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD17A3HGF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A3HGF.md.txt) | | The MOD17A3HGF V6.1 product provides information about annual Gross and Net Primary Productivity (GPP and NPP) at 500m pixel resolution. Annual NPP is derived from the sum of all 8-day Net Photosynthesis(PSN) products (MOD17A2H) from the given year. The PSN value is the difference of ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) [photosynthesis](https://developers.google.com/earth-engine/datasets/tags/photosynthesis.md.txt) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity.md.txt) | - |---| | [### MOD21A1D.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21A1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1D.md.txt) | | The MOD21A1D dataset is produced daily from daytime Level 2 Gridded (L2G) intermediate LST products at a spatial resolution of 1,000 meters. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MOD21A1N.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21A1N_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1N.md.txt) | | The MOD21A1N dataset is produced daily from nighttime Level 2 Gridded (L2G) intermediate LST products at a spatial resolution of 1,000 meters. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MOD21C1.061 Terra Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C1.md.txt) | | The MOD21C1 dataset is produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG) from daytime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MOD21C2.061 Terra Land Surface Temperature and 3-Band Emissivity 8-Day L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C2.md.txt) | | The MOD21C2 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MOD21A1D and MOD21A1N daily acquisitions from the 8-day period. Unlike the MOD21A1 data sets where the ... | | [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) [terra](https://developers.google.com/earth-engine/datasets/tags/terra.md.txt) | - |---| | [### MOD21C3.061 Terra Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21C3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C3.md.txt) | | The MOD21C3 dataset is a monthly composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MOD21A1D and MOD21A1N daily acquisitions from the 8-day period. Unlike the MOD21A1 data sets where the ... | | [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.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) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.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) | - |---| | [### MOD44W.006 Terra Land Water Mask Derived From MODIS and SRTM Yearly Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_006_MOD44W_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD44W.md.txt) | | The MOD44W V6 land/water mask 250m product is derived using a decision tree classifier trained with MODIS data and validated with the MOD44W V5 product. A series of masks are applied to address known issues caused by terrain shadow, burn scars, cloudiness, or ice cover ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [mod44w](https://developers.google.com/earth-engine/datasets/tags/mod44w.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) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water.md.txt) | - |---| | [### MODOCGA.006 Terra Ocean Reflectance Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_006_MODOCGA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MODOCGA.md.txt) | | The MODOCGA V6 ocean reflectance product consists of 1 kilometer reflectance data from Terra MODIS bands 8-16. The product is referred to as ocean reflectance, because bands 8-16 are used primarily to produce ocean products, but this is not an ocean product as the tiles ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) | - |---| | [### MYD08_M3.061 Aqua Atmosphere Monthly Global Product ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD08_M3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD08_M3.md.txt) | | MYD08_M3 V6.1 is an atmosphere global product that contains monthly 1 x 1 degree grid average values of atmospheric parameters. These parameters are related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. The ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.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) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MYD09A1.061 Aqua Surface Reflectance 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09A1.md.txt) | | The MYD09A1 V6.1 product provides an estimate of the surface spectral reflectance of Aqua MODIS bands 1-7 at 500m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven reflectance bands is a quality layer and four observation ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-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) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MYD09GA.061 Aqua Surface Reflectance Daily Global 1km and 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09GA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GA.md.txt) | | The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MYD09GA version 6.1 provides bands 1-7 in ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MYD09GQ.061 Aqua Surface Reflectance Daily Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09GQ_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GQ.md.txt) | | The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MYD09GQ version 6.1 provides bands 1 and ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MYD09Q1.061 Aqua Surface Reflectance 8-Day Global 250m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD09Q1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09Q1.md.txt) | | The MYD09Q1 product provides an estimate of the surface spectral reflectance of bands 1 and 2 at 250m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the two reflectance bands, a quality layer is also included. For each ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-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) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### MYD10A1.061 Aqua Snow Cover Daily Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD10A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD10A1.md.txt) | | The MYD10A1 V6 Snow Cover Daily Global 500m product contains snow cover, snow albedo, fractional snow cover, and quality assessment (QA) data. Snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. General ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) | - |---| | [### MYD11A1.061 Aqua Land Surface Temperature and Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD11A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1.md.txt) | | The MYD11A1 V6.1 product provides daily land surface temperature (LST) and emissivity values in a 1200 x 1200 kilometer grid. The temperature value is derived from the MYD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MYD11A2.061 Aqua Land Surface Temperature and Emissivity 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD11A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A2.md.txt) | | The MYD11A2 V6.1 product provides an average 8-day land surface temperature (LST) in a 1200 x 1200 kilometer grid. Each pixel value in MYD11A2 is a simple average of all the corresponding MYD11A1 LST pixels collected within that 8 day period. The MYD11A2 does a ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.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) | - |---| | [### MYD14A1.061: Aqua Thermal Anomalies \& Fire Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD14A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD14A1.md.txt) | | The MYD14A1 V6.1 dataset provides daily fire mask composites at 1km resolution derived from the MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.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) | - |---| | [### MYD14A2.061: Aqua Thermal Anomalies \& Fire 8-Day Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD14A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD14A2.md.txt) | | The MYD14A2 V6.1 dataset provides 8-day fire mask composites at 1km resolution. It contains the maximum value of the individual pixel classes over the compositing period. Along with the fire mask, an associated quality information layer is also provided. Documentation: User's Guide Algorithm Theoretical Basis ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.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) | - |---| | [### MYD15A2H.061: Aqua Leaf Area Index/FPAR 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD15A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD15A2H.md.txt) | | The MYD15A2H V6.1 MODIS combined Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is an 8-day composite dataset at 500m resolution. The algorithm chooses the "best" pixel available from all the acquisitions of the Aqua sensor from within the 8-day period. ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [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) | - |---| | [### MYD16A2.061: Aqua Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061 ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD16A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD16A2.md.txt) | | The MYD16A2 Version 6.1 Evapotranspiration/Latent Heat Flux product is an 8-day composite product at 500 meter pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.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) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor.md.txt) | - |---| | [### MYD17A2H.061: Aqua Gross Primary Productivity 8-Day Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD17A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD17A2H.md.txt) | | The MYD17A2H V6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite with a 500m resolution. The product is based on the radiation-use efficiency concept and can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-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) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.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) | - |---| | [### MYD17A3HGF.061: Aqua Net Primary Production Gap-Filled Yearly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD17A3HGF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD17A3HGF.md.txt) | | The MYD17A3HGF V6.1 product provides information about annual Gross and Net Primary Productivity (GPP and NPP) at 500m pixel resolution. Annual NPP is derived from the sum of all 8-day Net Photosynthesis(PSN) products (MYD17A2H) from the given year. The PSN value is the difference of ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [npp](https://developers.google.com/earth-engine/datasets/tags/npp.md.txt) [photosynthesis](https://developers.google.com/earth-engine/datasets/tags/photosynthesis.md.txt) | - |---| | [### MYD21A1D.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21A1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1D.md.txt) | | The MYD21A1D dataset is produced daily from daytime Level 2 Gridded (L2G) intermediate LST products at a spatial resolution of 1,000 meters. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD21A1N.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21A1N_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1N.md.txt) | | The MYD21A1N dataset is produced daily from nighttime Level 2 Gridded (L2G) intermediate LST products at a spatial resolution of 1,000 meters. The L2G process maps the daily MOD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD21C1.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21C1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C1.md.txt) | | The MYD21C1 dataset is produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG) from daytime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily MYD21 swath granules onto a sinusoidal MODIS grid and stores all ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### MYD21C2.061 Aqua Land Surface Temperature and 3-Band Emissivity 8-Day L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C2.md.txt) | | The MYD21C2 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MYD21A1D and MYD21A1N daily acquisitions from the 8-day period. Unlike the MYD21A1 data sets where the ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature.md.txt) | - |---| | [### MYD21C3.061 Aqua Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21C3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C3.md.txt) | | The MYD21C3 dataset is a monthly composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MYD21A1D and MYD21A1N daily acquisitions from the 8-day period. Unlike the MYD21A1 data sets where the ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.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) | - |---| | [### MYDOCGA.006 Aqua Ocean Reflectance Daily Global 1km ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_006_MYDOCGA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MYDOCGA.md.txt) | | The MYDOCGA V6 ocean reflectance product consists of 1 kilometer reflectance data from Aqua MODIS bands 8-16. The product is referred to as ocean reflectance, because bands 8-16 are used primarily to produce ocean products, but this is not an ocean product as the tiles ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.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) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### NASA SRTM Digital Elevation 30m ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_SRTMGL1_003_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_SRTMGL1_003.md.txt) | | The Shuttle Radar Topography Mission (SRTM, see Farr et al. 2007) digital elevation data is an international research effort that obtained digital elevation models on a near-global scale. This SRTM V3 product (SRTM Plus) is provided by NASA JPL at a resolution of 1 arc-second ... | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### NASADEM: NASA 30m Digital Elevation Model ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NASADEM_HGT_001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NASADEM_HGT_001.md.txt) | | NASADEM is a reprocessing of SRTM data, with improved accuracy by incorporating auxiliary data from ASTER GDEM, ICESat GLAS, and PRISM datasets. The most significant processing improvements involve void reduction through improved phase unwrapping and using ICESat GLAS data for control. Documentation: User's Guide | | [dem](https://developers.google.com/earth-engine/datasets/tags/dem.md.txt) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation.md.txt) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [srtm](https://developers.google.com/earth-engine/datasets/tags/srtm.md.txt) | - |---| | [### NEX-DCP30: Ensemble Stats for NASA Earth Exchange Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-DCP30_ENSEMBLE_STATS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30_ENSEMBLE_STATS.md.txt) | | The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-DCP30: NASA Earth Exchange Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-DCP30_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30.md.txt) | | The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-GDDP-CMIP6: NASA Earth Exchange Global Daily Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GDDP-CMIP6_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GDDP-CMIP6.md.txt) | | The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6, see Thrasher et al. 2022) and across two of the four "Tier 1" greenhouse gas emissions scenarios ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [gddp](https://developers.google.com/earth-engine/datasets/tags/gddp.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-GDDP: NASA Earth Exchange Global Daily Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-GDDP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-GDDP.md.txt) | | The NASA NEX-GDDP dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across two of the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [gddp](https://developers.google.com/earth-engine/datasets/tags/gddp.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) | - |---| | [### NLDAS-2: North American Land Data Assimilation System Forcing Fields ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NLDAS_FORA0125_H002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NLDAS_FORA0125_H002.md.txt) | | Land Data Assimilation System (LDAS) combines multiple sources of observations (such as precipitation gauge data, satellite data, and radar precipitation measurements) to produce estimates of climatological properties at or near the Earth''s surface. This dataset is the primary (default) forcing file (File A) for Phase ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.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) | - |---| | [### OPERA Radiometric Terrain-Corrected SAR Backscatter from Sentinel-1 Static Layers V1.0 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_RTC_L2_V1_S1_STATIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_RTC_L2_V1_S1_STATIC.md.txt) | | This product contains static radar geometry layers associated with the OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 dataset. Due to the S1 mission's narrow orbital tube, radar-geometry layers such as incidence angle, local incidence angle, number of looks, and RTC Area Normalization Factor (ANF) ... | | [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived.md.txt) | - |---| | [### OPERA Radiometric Terrain-Corrected SAR Backscatter from Sentinel-1 V1.0 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_RTC_L2_V1_S1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_RTC_L2_V1_S1.md.txt) | | This product consists of radar backscatter normalized with respect to the topography. It maps signals related to the physical properties of ground scattering objects, such as surface roughness and soil moisture and/or vegetation. The OPERA RTC-S1 product is derived from Copernicus Sentinel-1 Interferometric Wide (IW) ... | | [backscatter](https://developers.google.com/earth-engine/datasets/tags/backscatter.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### Ocean Color SMI: Standard Mapped Image MODIS Aqua Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_MODIS-Aqua_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Aqua_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.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) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Ocean Color SMI: Standard Mapped Image MODIS Terra Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_MODIS-Terra_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Terra_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.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) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Ocean Color SMI: Standard Mapped Image SeaWiFS Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_SeaWiFS_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_SeaWiFS_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) | - |---| | [### Reprocessed GLDAS-2.0: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V20_NOAH_G025_T3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V20_NOAH_G025_T3H.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### SPL3SMP_E.005 SMAP L3 Radiometer Global Daily 9 km Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL3SMP_E_005_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_005.md.txt) | | Data starting from 2023-12-04 are available in the NASA/SMAP/SPL3SMP_E/006 collection. This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) L-Band radiometer. The daily data here were collected from the descending (local ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### SPL3SMP_E.006 SMAP L3 Radiometer Global Daily 9 km Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL3SMP_E_006_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_006.md.txt) | | Data prior from 2023-12-04 are available in the older NASA/SMAP/SPL3SMP_E/005 collection. They will eventually be reprocessed and added to this collection. This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) L-Band ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### SPL4SMGP.008 SMAP L4 Global 3-hourly 9-km Surface and Root Zone Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL4SMGP_008_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL4SMGP_008.md.txt) | | The SMAP Level-4 (L4) Soil Moisture product includes surface soil moisture (0-5 cm vertical average), root-zone soil moisture (0-100 cm vertical average), and additional research products (not validated), including surface meteorological forcing variables, soil temperature, evapotranspiration, and net radiation. This dataset, formally known as the ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### TOMS and OMI Merged Ozone Data v4 ![](https://developers.google.com/earth-engine/datasets/images/TOMS/TOMS_MERGED_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TOMS_MERGED_V4.md.txt) | | The Total Ozone Mapping Spectrometer (TOMS) data represent the primary long-term, continuous record of satellite-based observations available for use in monitoring global and regional trends in total ozone over the past 25 years. The data are produced by the Laboratory for Atmospheres at NASA's Goddard ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ozone](https://developers.google.com/earth-engine/datasets/tags/ozone.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### TRMM 3B42: 3-Hourly Precipitation Estimates ![](https://developers.google.com/earth-engine/datasets/images/TRMM/TRMM_3B42_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B42.md.txt) | | The Tropical Rainfall Measuring Mission (TRMM) is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) designed to monitor and study tropical rainfall. The 34B2 product contains a gridded, TRMM-adjusted, merged infrared precipitation (mm/hr) and RMS precipitation-error estimate, with a 3-hour temporal ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### TRMM 3B43: Monthly Precipitation Estimates ![](https://developers.google.com/earth-engine/datasets/images/TRMM/TRMM_3B43V7_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B43V7.md.txt) | | This collection is no longer being updated. See IMERG monthly This dataset algorithmically merges microwave data from multiple satellites, including SSMI, SSMIS, MHS, AMSU-B and AMSR-E, each inter-calibrated to the TRMM Combined Instrument. Algorithm 3B43 is executed once per calendar month to produce the single, ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [rainfall](https://developers.google.com/earth-engine/datasets/tags/rainfall.md.txt) | - |---| | [### VJ114IMGTDL_NRT Daily Raster: VIIRS (NOAA-20) Band 375m Active Fire ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_LANCE_NOAA20_VIIRS_C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_LANCE_NOAA20_VIIRS_C2.md.txt) | | NOAA-20 (JPSS-1) Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fire detection product is based on the instrument's 375m nominal resolution data. Compared to other coarser resolution (≥ 1km) satellite fire detection products, the improved 375 m data provide greater response over fires of relatively small ... | | [eosdis](https://developers.google.com/earth-engine/datasets/tags/eosdis.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [firms](https://developers.google.com/earth-engine/datasets/tags/firms.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hotspot](https://developers.google.com/earth-engine/datasets/tags/hotspot.md.txt) [lance](https://developers.google.com/earth-engine/datasets/tags/lance.md.txt) | - |---| | [### VJ146A2: VIIRS Lunar Gap-Filled BRDF Nighttime Lights Daily L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ146A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ146A2.md.txt) | | The NOAA-20 (JPSS-1) Visible Infrared Imaging Radiometer Suite (VIIRS) supports a Day-Night Band (DNB) sensor that provides global daily measurements of nocturnal visible and near-infrared (NIR) light that are suitable for Earth system science and applications. The VIIRS DNB's ultra-sensitivity in lowlight conditions generates science-quality ... | | [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### VJ209GA: VIIRS Surface Reflectance Daily 500m and 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ209GA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ209GA.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VJ209GA) Version 2 product provides an estimate of land surface reflectance from the Joint Polar Satellite System (JPSS-2) / NOAA-21 VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.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) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VJ209H1: VIIRS Surface Reflectance 8-Day L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ209H1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ209H1.md.txt) | | The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) Surface Reflectance (VJ209H1) Version 2 composite product provides an estimate of land surface reflectance from the Joint Polar Satellite System (JPSS-2) / NOAA-21 VIIRS sensor for three imagery bands (I1, I2, I3) at nominal 500 meter resolution ... | | [8-day](https://developers.google.com/earth-engine/datasets/tags/8-day.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.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) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.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) | - |---| | [### VJ214A1.002: Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ214A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ214A1.md.txt) | | The daily NOAA-21 NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Anomalies/Fire (VJ214A1) Version 2 data product provides daily information about active fires and other thermal anomalies. The VJ214A1 data product is a global, 1km gridded composite of fire pixels detected from VIIRS 750m bands ... | | [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VJ215A2H.002: LAI/FPAR 8-Day L4 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ215A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ215A2H.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 2 data product provides information about the vegetative canopy layer at 500 meter resolution (VJ215A2H). The VIIRS sensor is located onboard the NOAA-21 satellite. LAI is ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VJ221A1D.002: Day Land Surface Temperature and Emissivity Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ221A1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ221A1D.md.txt) | | The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST\&E) Day Version 2 product (VJ221A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VJ221 swath granules onto a sinusoidal MODIS grid and ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [day](https://developers.google.com/earth-engine/datasets/tags/day.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VJ221A1N.002: Night Land Surface Temperature and Emissivity Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ221A1N_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ221A1N.md.txt) | | The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST\&E) Night Version 2 product (VJ221A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VJ221 swath granules onto a sinusoidal MODIS grid and ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [night](https://developers.google.com/earth-engine/datasets/tags/night.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VJ243IA3: BRDF/Albedo Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ243IA3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ243IA3.md.txt) | | The NASA/NOAA NOAA-21 (JPSS-2) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (BRDF/Albedo) Version 2 product provides albedo estimates at 500 meter resolution. The VJ243IA3 product is produced daily using 16 days of VIIRS data and is weighted temporally to ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VJ243IA4: Nadir BRDF-Adjusted Reflectance Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ243IA4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ243IA4.md.txt) | | The NASA/NOAA NOAA-21 (JPSS-2) Visible Infrared Imaging Radiometer Suite (VIIRS) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 2 product provides NBAR estimates at 500 meter resolution. The VJ243IA4 product is produced daily using 16 days of VIIRS data and is weighted temporally ... | | [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VJ243MA3: BRDF/Albedo Daily L3 Global 1km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VJ243MA3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VJ243MA3.md.txt) | | The NASA/NOAA NOAA-21 (JPSS-2) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (BRDF/Albedo) Version 2 product provides albedo estimates at 1000 meter (1 km) resolution. The VJ243MA3 product is produced daily using 16 days of VIIRS data and is weighted ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP09GA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09GA.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VNP09GA) product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (\~463 meter) ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.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) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP09H1: VIIRS Surface Reflectance 8-Day L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP09H1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09H1.md.txt) | | The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) Surface Reflectance (VNP09H1) Version 1 composite product provides an estimate of land surface reflectance from the Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor for three imagery bands (I1, I2, I3) at nominal 500m resolution (\~463m). The ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.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) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.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) | - |---| | [### VNP14A1.002: Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP14A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP14A1.md.txt) | | The daily Suomi National Polar-Orbiting Partnership NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Anomalies/Fire (VNP14A1) Version 1 data product provides daily information about active fires and other thermal anomalies. The VNP14A1 data product is a global, 1km gridded composite of fire pixels detected from ... | | [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP14IMGTDL_NRT Daily Raster: VIIRS (S-NPP) Band 375m Active Fire ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_LANCE_SNPP_VIIRS_C2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_LANCE_SNPP_VIIRS_C2.md.txt) | | Suomi NPP Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fire detection product is based on the instrument's 375m nominal resolution data. Compared to other coarser resolution (≥ 1km) satellite fire detection products, the improved 375 m data provide greater response over fires of relatively small ... | | [eosdis](https://developers.google.com/earth-engine/datasets/tags/eosdis.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [firms](https://developers.google.com/earth-engine/datasets/tags/firms.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hotspot](https://developers.google.com/earth-engine/datasets/tags/hotspot.md.txt) [lance](https://developers.google.com/earth-engine/datasets/tags/lance.md.txt) | - |---| | [### VNP15A2H: LAI/FPAR 8-Day L4 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP15A2H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP15A2H.md.txt) | | The Visible Infrared Imaging Radiometer Suite (VIIRS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 1 data product provides information about the vegetative canopy layer at 500 meter resolution (VNP15A2H). The VIIRS sensor is located onboard the NOAA/NASA joint Suomi National ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [vegetation-indices](https://developers.google.com/earth-engine/datasets/tags/vegetation-indices.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP21A1D.002: Day Land Surface Temperature and Emissivity Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP21A1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP21A1D.md.txt) | | The NASA Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST\&E) Day Version 1 product (VNP21A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VNP21 swath granules ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [day](https://developers.google.com/earth-engine/datasets/tags/day.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VNP21A1N.002: Night Land Surface Temperature and Emissivity Daily 1km ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP21A1N_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP21A1N.md.txt) | | The NASA Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST\&E) Night Version 1 product (VNP21A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VNP21 swath granules ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [night](https://developers.google.com/earth-engine/datasets/tags/night.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.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) | - |---| | [### VNP43IA1: BRDF/Albedo Model Parameters Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_001_VNP43IA1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP43IA1.md.txt) | | The Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameters (VNP43IA1) Version 1 product provides kernel weights (parameters) at 500 resolution. The VNP43IA1 product is produced daily using 16 days of VIIRS ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP43IA2: BRDF/Albedo Quality Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_001_VNP43IA2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP43IA2.md.txt) | | The Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Quality (VNP43IA2) Version 1 product provides BRDF and Albedo quality at 500m resolution. The VNP43IA2 product is produced daily using 16 days of VIIRS ... | | [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP43IA3: BRDF/Albedo Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP43IA3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP43IA3.md.txt) | | The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (BRDF/Albedo) Version 2 product provides albedo estimates at 500 meter resolution. The VNP43IA3 product is produced daily using 16 days of VIIRS data and ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP43IA4: BRDF/Albedo Quality Daily L3 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP43IA4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP43IA4.md.txt) | | The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 2 product provides NBAR estimates at 500 meter resolution. The VNP43IA4 product is produced daily using 16 days of VIIRS data ... | | [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### VNP43MA3: BRDF/Albedo Daily L3 Global 1km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP43MA3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP43MA3.md.txt) | | The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (BRDF/Albedo) Version 2 product provides albedo estimates at 1000 meter (1 km) resolution. The VNP43MA3 product is produced daily using 16 days of VIIRS ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery.md.txt) | - |---| | [### VNP46A1: VIIRS Daily Gridded Day Night Band 500m Linear Lat Lon Grid Night ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_001_VNP46A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP46A1.md.txt) | | The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) supports a Day-Night Band (DNB) sensor that provides global daily measurements of nocturnal visible and near-infrared (NIR) light that are suitable for Earth system science and applications. The VIIRS DNB's ultra-sensitivity in lowlight ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [dnb](https://developers.google.com/earth-engine/datasets/tags/dnb.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [viirs](https://developers.google.com/earth-engine/datasets/tags/viirs.md.txt) | - |---| | [### VNP46A2: VIIRS Lunar Gap-Filled BRDF Nighttime Lights Daily L3 Global 500m ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP46A2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP46A2.md.txt) | | The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) supports a Day-Night Band (DNB) sensor that provides global daily measurements of nocturnal visible and near-infrared(NIR) light that are suitable for Earth system science and applications. The VIIRS DNB's ultra-sensitivity in lowlight conditions ... | | [brdf](https://developers.google.com/earth-engine/datasets/tags/brdf.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) | - |---| | [### VNP64A1.002: Burned Area Monthly L4 Global 500m SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_VIIRS_002_VNP64A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP64A1.md.txt) | | The daily Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 2 data product is a monthly, global gridded 500m product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750m VIIRS ... | | [burn](https://developers.google.com/earth-engine/datasets/tags/burn.md.txt) [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection.md.txt) [fire](https://developers.google.com/earth-engine/datasets/tags/fire.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) |