Earth Engine's public data catalog includes a variety of standard Earth science raster datasets. You can import these datasets into your script environment with a single click. You can also upload your own raster data or vector data for private use or sharing in your scripts.
Looking for another dataset not in Earth Engine yet? Let us know by suggesting a dataset.-
Canada AAFC Annual Crop Inventory
Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology … aafc canada crop landcover -
Allen Coral Atlas (ACA) - Geomorphic Zonation and Benthic Habitat - v1.0
The Allen Coral Atlas dataset maps the geomorphic zonation and benthic habitat for the world's shallow coral reefs at 5m pixel resolution. The underlying satellite image data are temporal composites of PlanetScope satellite imagery spanning 2018-2020. The habitat maps are created via a machine learning … coral ocean planet planet-derived reef seagrass -
AHN Netherlands 0.5m DEM, Interpolated
The AHN DEM is a 0.5m DEM covering the Netherlands. It was generated from LIDAR data taken in the spring between 2007 and 2012. It contains ground level samples with all other items above ground (such as buildings, bridges, trees etc.) removed. This version is … ahn dem elevation geophysical lidar netherlands -
AHN Netherlands 0.5m DEM, Non-Interpolated
The AHN DEM is a 0.5m DEM covering the Netherlands. It was generated from LIDAR data taken in the spring between 2007 and 2012. It contains ground level samples with all other items above ground (such as buildings, bridges, trees etc.) removed. This version is … ahn dem elevation geophysical lidar netherlands -
AHN Netherlands 0.5m DEM, Raw Samples
The AHN DEM is a 0.5m DEM covering the Netherlands. It was generated from LIDAR data taken in the spring between 2007 and 2012. This version contains both ground level samples and items above ground level (such as buildings, bridges, trees etc). The point cloud … ahn dem elevation geophysical lidar netherlands -
ASTER L1T Radiance
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a multispectral imager that was launched on board NASA's Terra spacecraft in December, 1999. ASTER can collect data in 14 spectral bands from the visible to the thermal infrared. Each scene covers an area of … aster eos imagery nasa nir radiance -
Australian 5M DEM
The Digital Elevation Model (DEM) 5 Metre Grid of Australia derived from LiDAR model represents a National 5 metre (bare earth) DEM which has been derived from some 236 individual LiDAR surveys between 2001 and 2015 covering an area in excess of 245,000 square kilometres. … australia dem elevation ga geophysical geoscience-australia -
DEM-H: Australian SRTM Hydrologically Enforced Digital Elevation Model
The Hydrologically Enforced Digital Elevation Model (DEM-H) was derived from the SRTM data acquired by NASA in February 2000. The model has been hydrologically conditioned and drainage enforced. The DEM-H captures flow paths based on SRTM elevations and mapped stream lines, and supports delineation of … australia dem elevation ga geophysical geoscience-australia -
DEM-S: Australian Smoothed Digital Elevation Model
The Smoothed Digital Elevation Model (DEM-S) was derived from the SRTM data acquired by NASA in February 2000. DEM-S represents ground surface topography (excluding vegetation features) and has been smoothed to reduce noise and improve the representation of surface shape. An adaptive process applied more … australia dem elevation ga geophysical geoscience-australia -
Global Map of Oil Palm Plantations
The dataset is a 10m global industrial and smallholder oil palm map for 2019. It covers areas where oil palm plantations were detected. The classified images are the output of a convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites. See article for additional … biodiversity biopama conservation crop global landuse -
BLM AIM TerrADat TerrestrialAIM Point v1
Since 2011, the Bureau of Land Management (BLM) has collected field information to inform land health through its Assessment Inventory and Monitoring (AIM) strategy. To date, more than 6,000 terrestrial AIM field plots have been collected over BLM lands. The BLM AIM data archive is … aim biota blm endangered environment grsg -
PML_V2 0.1.7: Coupled Evapotranspiration and Gross Primary Product (GPP)
Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include evapotranspiration (ET), its three components, and gross primary product (GPP) at 500m and 8-day resolution during 2002-2017 and with spatial range from -60°S to 90°N. The major advantages of the PML_V2 products are: coupled estimates of transpiration and GPP … cas evapotranspiration gpp gross-primary-product igsnrr pml -
SRTM Digital Elevation Data Version 4
The Shuttle Radar Topography Mission (SRTM) digital elevation dataset was originally produced to provide consistent, high-quality elevation data at near global scope. This version of the SRTM digital elevation data has been processed to fill data voids, and to facilitate its ease of use. cgiar dem elevation geophysical srtm topography -
GPWv411: Basic Demographic Characteristics (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: Data Context (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: Land Area (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: Mean Administrative Unit Area (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: National Identifier Grid (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: Population Count (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: Population Density (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: Adjusted to Match 2015 Revision of UN WPP Country Totals (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: UN-Adjusted Population Density (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: Water Area (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
GPWv411: Water Mask (Gridded Population of the World Version 4.11)
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 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census … ciesin gpw nasa population -
Copernicus CORINE Land Cover
The CORINE (coordination of information on the environment) Land Cover (CLC) inventory was initiated in 1985 to standardize data collection on land in Europe to support environmental policy development. The project is coordinated by the European Environment Agency (EEA) in the frame of the EU … clc copernicus corine eea esa eu -
Copernicus Global Land Cover Layers: CGLS-LC100 Collection 3
The Copernicus Global Land Service (CGLS) is earmarked as a component of the Land service to operate a multi-purpose service component that provides a series of bio-geophysical products on the status and evolution of land surface at global scale. The Dynamic Land Cover map at … copernicus eea esa eu landcover proba -
Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar Ground Range Detected, log scaling
The Sentinel-1 mission provides data from a dual-polarization C-band Synthetic Aperture Radar (SAR) instrument at 5.405GHz (C band). This collection includes the S1 Ground Range Detected (GRD) scenes, processed using the Sentinel-1 Toolbox to generate a calibrated, ortho-corrected product. The collection is updated daily. New … backscattering copernicus esa eu polarization radar -
Sentinel-2 MSI: MultiSpectral Instrument, Level-1C
See also collection COPERNICUS/S2_HARMONIZED that shifts data with PROCESSING_BASELINE '04.00' or above (after 2022-01-25) to be in the same range as in older scenes. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water … copernicus esa eu msi radiance sentinel -
Sentinel-2: Cloud Probability
The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting 0..1 floating point probability is scaled to 0..100 and stored as a UINT8. … cloud copernicus esa eu msi radiance -
Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-1C
After 2022-01-25, Sentinel-2 scenes with PROCESSING_BASELINE '04.00' or above have their DN (value) range shifted by 1000. The HARMONIZED collection shifts data in newer scenes to be in the same range as in older scenes. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus … copernicus esa eu msi radiance sentinel -
Sentinel-2 MSI: MultiSpectral Instrument, Level-2A
See also collection COPERNICUS/S2_SR_HARMONIZED that shifts data with PROCESSING_BASELINE '04.00' or above (after 2022-01-25) to be in the same range as in older scenes. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water … copernicus esa eu msi reflectance sentinel -
Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-2A
After 2022-01-25, Sentinel-2 scenes with PROCESSING_BASELINE '04.00' or above have their DN (value) range shifted by 1000. The HARMONIZED collection shifts data in newer scenes to be in the same range as in older scenes. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus … copernicus esa eu msi reflectance sentinel -
Sentinel-3 OLCI EFR: Ocean and Land Color Instrument Earth Observation Full Resolution
The Ocean and Land Color Instrument (OLCI) Earth Observation Full Resolution (EFR) dataset contains top of atmosphere radiances at 21 spectral bands with center wavelengths ranging between 0.4μm and 1.02μm at spatial resolution of 300m with worldwide coverage every ~2 days. OLCI is one of … copernicus esa eu olci radiance sentinel -
Sentinel-5P NRTI AER AI: Near Real-Time UV Aerosol Index
NRTI/L3_AER_AI This dataset provides near real-time high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Aerosol Index (AAI). The AAI is based on wavelength-dependent changes in Rayleigh scattering in the UV spectral range for a pair of wavelengths. The difference between observed … aai aerosol air-quality copernicus esa eu -
Sentinel-5P NRTI AER LH: Near Real-Time UV Aerosol Layer Height
NRTI/L3_AER_LH This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH). The ALH is very sensitive to cloud contamination. However, aerosols and clouds can be difficult to distinguish, and ALH is computed for all FRESCO effective … aerosol air-quality alh copernicus esa eu -
Sentinel-5P NRTI CLOUD: Near Real-Time Cloud
NRTI/L3_CLOUD This dataset provides near real-time high-resolution imagery of cloud parameters. The TROPOMI/S5P cloud properties retrieval is based on the OCRA and ROCINN algorithms currently being used in the operational GOME and GOME-2 products. OCRA retrieves the cloud fraction using measurements in the UV/VIS spectral … climate cloud copernicus dlr esa eu -
Sentinel-5P NRTI CO: Near Real-Time Carbon Monoxide
NRTI/L3_CO This dataset provides near real-time high-resolution imagery of CO concentrations. Carbon monoxide (CO) is an important atmospheric trace gas for understanding tropospheric chemistry. In certain urban areas, it is a major atmospheric pollutant. Main sources of CO are combustion of fossil fuels, biomass burning, … air-quality carbon-monoxide co copernicus esa eu -
Sentinel-5P NRTI HCHO: Near Real-Time Formaldehyde
NRTI/L3_HCHO This dataset provides near real-time high-resolution imagery of atmospheric formaldehyde (HCHO) concentrations. Formaldehyde is an intermediate gas in almost all oxidation chains of non-methane volatile organic compounds (NMVOC), leading eventually to CO2. Non-Methane Volatile Organic Compounds (NMVOCs) are, together with NOx, CO and CH4, … air-quality bira copernicus dlr esa eu -
Sentinel-5P NRTI NO2: Near Real-Time Nitrogen Dioxide
NRTI/L3_NO2 This dataset provides near real-time high-resolution imagery of NO2 concentrations. Nitrogen oxides (NO2 and NO) are important trace gases in the Earth’s atmosphere, present in both the troposphere and the stratosphere. They enter the atmosphere as a result of anthropogenic activities (notably fossil fuel … air-quality copernicus esa eu knmi nitrogen-dioxide -
Sentinel-5P NRTI O3: Near Real-Time Ozone
NRTI/L3_O3 This dataset provides near-real-time high-resolution imagery of total column ozone concentrations. See also COPERNICUS/S5P/OFFL/L3_O3_TCL for the tropospheric column data. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as an efficient cleansing agent, but … air-quality copernicus esa eu o3 ozone -
Sentinel-5P NRTI SO2: Near Real-Time Sulphur Dioxide
NRTI/L3_SO2 This dataset provides near real-time high-resolution imagery of atmospheric sulfur dioxide (SO2) concentrations. Sulphur dioxide (SO2) enters the Earth’s atmosphere through both natural and anthropogenic processes. It plays a role in chemistry on a local and global scale and its impact ranges from short-term … air-quality bira copernicus dlr esa eu -
Sentinel-5P OFFL AER AI: Offline UV Aerosol Index
OFFL/L3_AER_AI This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Aerosol Index (AAI). The AAI is based on wavelength-dependent changes in Rayleigh scattering in the UV spectral range for a pair of wavelengths. The difference between observed and … aai aerosol air-quality copernicus esa eu -
Sentinel-5P OFFL AER LH: Offline UV Aerosol Layer Height
OFFL/L3_AER_LH This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH). The ALH is very sensitive to cloud contamination. However, aerosols and clouds can be difficult to distinguish, and ALH is computed for all FRESCO effective … aerosol air-quality alh copernicus esa eu -
Sentinel-5P OFFL CH4: Offline Methane
OFFL/L3_CH4 This dataset provides offline high-resolution imagery of methane concentrations. Methane (CH4) is, after carbon dioxide (CO2), the most important contributor to the anthropogenically enhanced greenhouse effect. Roughly three-quarters of methane emissions are anthropogenic and as such it is important to continue the record of … ch4 climate copernicus esa eu knmi -
Sentinel-5P OFFL CLOUD: Near Real-Time Cloud
OFFL/L3_CLOUD This dataset provides offline high-resolution imagery of cloud parameters. The TROPOMI/S5P cloud properties retrieval is based on the OCRA and ROCINN algorithms currently being used in the operational GOME and GOME-2 products. OCRA retrieves the cloud fraction using measurements in the UV/VIS spectral regions … climate cloud copernicus dlr esa eu -
Sentinel-5P OFFL CO: Offline Carbon Monoxide
OFFL/L3_CO This dataset provides offline high-resolution imagery of CO concentrations. Carbon monoxide (CO) is an important atmospheric trace gas for understanding tropospheric chemistry. In certain urban areas, it is a major atmospheric pollutant. Main sources of CO are combustion of fossil fuels, biomass burning, and … air-quality carbon-monoxide co copernicus esa eu -
Sentinel-5P OFFL HCHO: Offline Formaldehyde
OFFL/L3_HCHO This dataset provides offline high-resolution imagery of atmospheric formaldehyde (HCHO) concentrations. Formaldehyde is an intermediate gas in almost all oxidation chains of non-methane volatile organic compounds (NMVOC), leading eventually to CO2. Non-Methane Volatile Organic Compounds (NMVOCs) are, together with NOx, CO and CH4, among … air-quality bira copernicus dlr esa eu -
Sentinel-5P OFFL NO2: Offline Nitrogen Dioxide
OFFL/L3_NO2 This dataset provides offline high-resolution imagery of NO2 concentrations. Nitrogen oxides (NO2 and NO) are important trace gases in the Earth’s atmosphere, present in both the troposphere and the stratosphere. They enter the atmosphere as a result of anthropogenic activities (notably fossil fuel combustion … air-quality copernicus esa eu knmi nitrogen-dioxide -
Sentinel-5P OFFL O3: Offline Ozone
OFFL/L3_O3 This dataset provides offline high-resolution imagery of total column ozone concentrations. See also COPERNICUS/S5P/OFFL/L3_O3_TCL for the tropospheric column data. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as an efficient cleansing agent, but … air-quality copernicus esa eu o3 ozone -
Sentinel-5P OFFL O3 TCL: Offline Tropospheric Ozone
OFFL/L3_O3_TCL This dataset provides offline tropospheric high-resolution imagery of ozone concentrations between 20N and 20S. See also COPERNICUS/S5P/OFFL/L3_O3 and COPERNICUS/S5P/NRTI/L3_O3 for the total column data. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as … air-quality copernicus esa eu o3 ozone -
Sentinel-5P OFFL SO2: Offline Sulphur Dioxide
OFFL/L3_SO2 This dataset provides offline high-resolution imagery of atmospheric sulfur dioxide (SO2) concentrations. Sulphur dioxide (SO2) enters the Earth’s atmosphere through both natural and anthropogenic processes. It plays a role in chemistry on a local and global scale and its impact ranges from short-term pollution … air-quality bira copernicus dlr esa eu -
CryoSat-2 Antarctica 1km DEM
This dataset is a digital elevation model (DEM) of the Antarctic ice sheet and ice shelves based on observations recorded by the CryoSat-2 satellite radar altimeter between July 2010 and July 2016. The DEM is formed from spatio-temporal fits to elevation measurements accumulated within 1, … antarctica cpom cryosat-2 dem elevation polar -
SLGA: Soil and Landscape Grid of Australia (Soil Attributes)
The Soil and Landscape Grid of Australia (SLGA) is a comprehensive dataset of soil attributes across Australia at 3 arc-second resolution (~90m pixels). The surfaces are the outcomes from modelling that describe the spatial distribution of the soil attributes using existing soil data and environmental … australia csiro digital-soil-mapping globalsoilmap slga soil -
Global ALOS CHILI (Continuous Heat-Insolation Load Index)
CHILI is a surrogate for effects of insolation and topographic shading on evapotranspiration represented by calculating insolation at early afternoon, sun altitude equivalent to equinox. It is based on the 30m "AVE" band of JAXA's ALOS DEM (available in EE as JAXA/ALOS/AW3D30_V1_1). The Conservation Science … aspect csp elevation ergo geophysical global -
Global ALOS Landforms
The ALOS Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (ALOS CHILI) and the multi-scale Topographic Position Index (ALOS mTPI) datasets. It is based on the 30m "AVE" band of JAXA's ALOS DEM (available in EE as JAXA/ALOS/AW3D30_V1_1). The Conservation … aspect csp elevation ergo geophysical global -
Global ALOS mTPI (Multi-Scale Topographic Position Index)
The mTPI distinguishes ridge from valley forms. It is calculated using elevation data for each location subtracted by the mean elevation within a neighborhood. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the 30m … aspect csp elevation ergo geophysical global -
Global ALOS Topographic Diversity
Topographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. It expresses the logic that a higher variety of topo-climate niches should support higher diversity (especially plant) and support species persistence given climatic … aspect csp elevation ergo geophysical global -
Global SRTM CHILI (Continuous Heat-Insolation Load Index)
CHILI is a surrogate for effects of insolation and topographic shading on evapotranspiration represented by calculating insolation at early afternoon, sun altitude equivalent to equinox. It is based on the 30m SRTM DEM (available in EE as USGS/SRTMGL1_003). The Conservation Science Partners (CSP) Ecologically Relevant … aspect csp elevation ergo geophysical global -
Global SRTM Landforms
The SRTM Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (SRTM CHILI) and the multi-scale Topographic Position Index (SRTM mTPI) datasets. It is based on the 30m SRTM DEM (available in EE as USGS/SRTMGL1_003). The Conservation Science Partners (CSP) Ecologically … aspect csp elevation ergo geophysical global -
Global SRTM mTPI (Multi-Scale Topographic Position Index)
The mTPI distinguishes ridge from valley forms. It is calculated using elevation data for each location subtracted by the mean elevation within a neighborhood. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the 30m … aspect csp elevation ergo geophysical global -
Global SRTM Topographic Diversity
Topographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. It expresses the logic that a higher variety of topo-climate niches should support higher diversity (especially plant) and support species persistence given climatic … aspect csp elevation ergo geophysical global -
US NED CHILI (Continuous Heat-Insolation Load Index)
CHILI is a surrogate for effects of insolation and topographic shading on evapotranspiration represented by calculating insolation at early afternoon, sun altitude equivalent to equinox. It is based on the USGS's 10m NED DEM (available in EE as USGS/NED). The Conservation Science Partners (CSP) Ecologically … aspect csp elevation ergo geophysical landforms -
US NED Landforms
The ALOS Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (CHILI) and the multi-scale Topographic Position Index (mTPI) datasets. It is based on the USGS's 10m NED DEM (available in EE as USGS/NED). The Conservation Science Partners (CSP) Ecologically Relevant … aspect csp elevation ergo geophysical landforms -
US Lithology
The Lithology dataset provides classes of the general types of parent material of soil on the surface. It is not derived from any DEM. The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale data on landforms and physiographic … aspect csp elevation ergo geophysical landforms -
US NED mTPI (Multi-Scale Topographic Position Index)
The mTPI distinguishes ridge from valley forms. It is calculated using elevation data for each location subtracted by the mean elevation within a neighborhood. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the USGS's … aspect csp elevation ergo geophysical landforms -
US NED Physiographic Diversity
The Physiographic Diversity dataset provides an index of the diversity of physiographic types. It was calculated using the Shannon diversity index at multiple-scales (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the USGS's 10m NED DEM (available in EE as … aspect csp elevation ergo geophysical landforms -
US Physiography
The Physiography dataset represents the spatial intersection of landforms (available in EE as ERGo/1_0/US/landforms) and lithology (available in EE as ERGo/1_0/US/lithology) data layers. It provides 247 unique combinations out of a possible 270. The values for each type are formed by concatenating the landform and … aspect csp elevation ergo geophysical landforms -
US NED Topographic Diversity
Topographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. It expresses the logic that a higher variety of topo-climate niches should support higher diversity (especially plant) and support species persistence given climatic … aspect csp elevation ergo geophysical landforms -
CSP gHM: Global Human Modification
The global Human Modification dataset (gHM) provides a cumulative measure of human modification of terrestrial lands globally at 1 square-kilometer resolution. The gHM values range from 0.0-1.0 and are calculated by estimating the proportion of a given location (pixel) that is modified, the estimated intensity … csp fragmentation human-modification landcover landscape-gradient stressors -
World Settlement Footprint 2015
The World Settlement Footprint (WSF) 2015 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2014-2015 multitemporal Landsat-8 and Sentinel-1 imagery (of which ~217,000 and ~107,000 scenes have been processed, respectively). The temporal dynamics of human settlements … landcover landsat-derived sentinel1-derived settlement urban -
LandScan High Definition Data for Ukraine, January 2022
LandScan High Definition (HD) provides gridded population estimates at 3 arc-second (~100m) resolution. Values for each LandScan HD cell represent an ambient (i.e. 24 hour average) population count estimate. In this way, the data capture the full potential activity space of people throughout the course … landscan population ukraine -
Copernicus Atmosphere Monitoring Service (CAMS) Global Near-Real-Time
The Copernicus Atmosphere Monitoring Service provides the capacity to continuously monitor the composition of the Earth’s atmosphere at global and regional scales. The main global near-real-time production system is a data assimilation and forecasting suite providing two 5-day forecasts per day for aerosols and chemical … aerosol atmosphere climate copernicus ecmwf forecast -
ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service
ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 DAILY provides aggregated values for each day for … climate copernicus dewpoint ecmwf era5 precipitation -
ERA5 Monthly Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service
ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 MONTHLY provides aggregated values for each month for … climate copernicus dewpoint ecmwf era5 precipitation -
ERA5-Land Hourly - ECMWF Climate Reanalysis
ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with … cds climate copernicus ecmwf era5-land evaporation -
ERA5-Land Monthly Averaged - ECMWF Climate Reanalysis
ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with … cds climate copernicus ecmwf era5-land evaporation -
ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis
ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with … cds climate copernicus ecmwf era5-land evaporation -
EO-1 Hyperion Hyperspectral Imager
Hyperion is a high resolution hyperspectral imager producing 220 unique spectral channels ranging from 0.357 to 2.576 micrometers with a 10-nm bandwidth. The instrument operates in a pushbroom fashion, with a spatial resolution of 30 meters for all bands and a standard scene width of … eo-1 hyperion hyperspectral usgs -
US EPA Ecoregions (Level III)
The U.S. Environmental Protection Agency (USEPA) provides the Ecoregions dataset to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental … ecoregions epa -
US EPA Ecoregions (Level IV)
The U.S. Environmental Protection Agency (USEPA) provides the Ecoregions dataset to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental … ecoregions epa -
FireCCI51: MODIS Fire_cci Burned Area Pixel Product, Version 5.1
The MODIS Fire_cci Burned Area pixel product version 5.1 (FireCCI51) is a monthly global ~250m spatial resolution dataset containing information on burned area as well as ancillary data. It is based on surface reflectance in the Near Infrared (NIR) band from the MODIS instrument onboard … burn c3s cci climate-change copernicus esa -
GlobCover: Global Land Cover Map
GlobCover 2009 is a global land cover map based on ENVISAT's Medium Resolution Imaging Spectrometer (MERIS) Level 1B data acquired in full resolution mode with a spatial resolution of approximately 300 meters. esa globcover landcover -
ESA WorldCover 10m v100
The European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of … esa landcover landuse sentinel1-derived sentinel2-derived -
FAO GAUL: Global Administrative Unit Layers 2015, Country Boundaries
The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The GAUL always maintains global layers with a unified … borders countries fao gaul un -
FAO GAUL: Global Administrative Unit Layers 2015, First-Level Administrative Units
The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The GAUL always maintains global layers with a unified … borders departments fao gaul provinces states -
FAO GAUL: Global Administrative Unit Layers 2015, Second-Level Administrative Units
The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The GAUL always maintains global layers with a unified … borders counties districts fao gaul un -
FAO GAUL 500m: Global Administrative Unit Layers 2015, Country Boundaries
This version of GAUL dataset is simplified at 500m. The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. … borders countries fao gaul un -
FAO GAUL 500m: Global Administrative Unit Layers 2015, First-Level Administrative Units
This version of GAUL dataset is simplified at 500m. The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. … borders departments fao gaul provinces states -
FAO GAUL 500m: Global Administrative Unit Layers 2015, Second-Level Administrative Units
This version of GAUL dataset is simplified at 500m. The Global Administrative Unit Layers (GAUL) compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. … borders counties districts fao gaul un -
UN FAO Drained Organic Soils Area (Annual)
The two related FAO datasets on Drained Organic Soils provide estimates of: DROSA-A: area of Organic Soils (in hectares) drained for agricultural activities (cropland and grazed grassland) DROSE-A: carbon (C) and nitrous oxide (N2O) estimates (in gigagrams) from the agricultural drainage of organic soils under … agriculture climate-change emissions fao ghg organic-soils -
Drained Organic Soils Emissions (Annual)
The two related FAO datasets on Drained Organic Soils provide estimates of: DROSA-A: area of Organic Soils (in hectares) drained for agricultural activities (cropland and grazed grassland) DROSE-A: carbon (C) and nitrous oxide (N2O) estimates (in gigagrams) from the agricultural drainage of organic soils under … agriculture climate-change emissions fao ghg organic-soils -
WAPOR Actual Evapotranspiration and Interception
The actual evapotranspiration and interception (ETIa) (dekadal, in mm/day) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. agriculture fao wapor water -
WAPOR Dekadal Evaporation
The evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. agriculture fao wapor water -
WAPOR Dekadal Interception
The interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average … agriculture fao wapor water -
WAPOR Dekadal Net Primary Production
Net primary production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. agriculture fao wapor water -
WAPOR Dekadal Reference Evapotranspiration
Reference evapotranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the average of the daily reference evapotranspiration for that specific dekad. agriculture fao wapor water -
WAPOR Daily Reference Evapotranspiration
Reference evapotranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. Each pixel represents the daily reference evapotranspiration in mm. agriculture fao wapor water -
WAPOR Dekadal Transpiration
The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. agriculture fao wapor water -
FIRMS: Fire Information for Resource Management System
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 fire firms geophysical hotspot lance -
GFW (Global Fishing Watch) Daily Fishing Hours
Fishing effort, measured in hours of inferred fishing activity. Each asset is the effort for a given flag state and day, with one band for the fishing activity of each gear type. See sample Earth Engine scripts. Also see the main GFW site for program … fishing gfw marine monthly ocean -
GFW (Global Fishing Watch) Daily Vessel Hours
Fishing vessel presence, measured in hours per square km. Each asset is the vessel presence for a given flag state and day, with one band for the presence of each gear type. See sample Earth Engine scripts. Also see the main GFW site for program … fishing gfw marine monthly ocean -
GLCF: Landsat Global Inland Water
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 landsat-derived nasa umd water -
GLIMS 2021: Global Land Ice Measurements From Space
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 … glacier glims ice landcover nasa nsidc -
GLIMS Current: Global Land Ice Measurements From Space
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 … glacier glims ice landcover nasa nsidc -
Global Flood Database v1 (2000-2018)
The Global Flood Database contains maps of the extent and temporal distribution of 913 flood events occurring between 2000-2018. For more information, see the associated journal article. Flood events were collected from the Dartmouth Flood Observatory and used to collect MODIS imagery. The selected 913 … c2s cloudtostreet dartmouth dfo flood gfd -
Dynamic World V1
Dynamic World is a 10m near-real-time (NRT) Land Use/Land Cover (LULC) dataset that includes class probabilities and label information for nine classes. Dynamic World predictions are available for the Sentinel-2 L1C collection from 2015-06-27 to present. The revisit frequency of Sentinel-2 is between 2-5 days … global google landcover landuse nrt sentinel2-derived -
Open Buildings V1 Polygons
This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 516M building detections across an area of 19.4M km2 (64% of the African continent). For each building in this dataset we include the polygon describing its footprint … africa building built-up open-buildings structure -
GRIDMET DROUGHT: CONUS Drought Indices
This dataset contains drought indices derived from the 4-km daily Gridded Surface Meteorological (GRIDMET) dataset. The drought indices provided include the standardized precipitation index (SPI), the evaporative drought demand index (EDDI), the standardized precipitation evapotranspiration index (SPEI), the Palmer Drought Severity Index (PDSI) and Palmer … climate climatic-water-balance conus crop drought eddi -
HYCOM: Hybrid Coordinate Ocean Model, Sea Surface Elevation
The Hybrid Coordinate Ocean Model (HYCOM) is a data-assimilative hybrid isopycnal-sigma-pressure (generalized) coordinate ocean model. The subset of HYCOM data hosted in EE contains the variables salinity, temperature, velocity, and elevation. They have been interpolated to a uniform 0.08 degree lat/long grid between 80.48°S and … elevation hycom nopp ocean ssh water -
HYCOM: Hybrid Coordinate Ocean Model, Water Temperature and Salinity
The Hybrid Coordinate Ocean Model (HYCOM) is a data-assimilative hybrid isopycnal-sigma-pressure (generalized) coordinate ocean model. The subset of HYCOM data hosted in EE contains the variables salinity, temperature, velocity, and elevation. They have been interpolated to a uniform 0.08 degree lat/long grid between 80.48°S and … hycom nopp ocean salinity sst water -
HYCOM: Hybrid Coordinate Ocean Model, Water Velocity
The Hybrid Coordinate Ocean Model (HYCOM) is a data-assimilative hybrid isopycnal-sigma-pressure (generalized) coordinate ocean model. The subset of HYCOM data hosted in EE contains the variables salinity, temperature, velocity, and elevation. They have been interpolated to a uniform 0.08 degree lat/long grid between 80.48°S and … hycom nopp ocean velocity water -
GRIDMET: University of Idaho Gridded Surface Meteorological Dataset
The Gridded Surface Meteorological dataset provides high spatial resolution (~4-km) daily surface fields of temperature, precipitation, winds, humidity and radiation across the contiguous United States from 1979. The dataset blends the high resolution spatial data from PRISM with the high temporal resolution data from the … climate fireburning gridmet humidity merced metdata -
MACAv2-METDATA: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models
The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns … climate conus geophysical idaho maca monthly -
MACAv2-METDATA Monthly Summaries: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models
The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns … climate conus geophysical idaho maca monthly -
TerraClimate: Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces, University of Idaho
TerraClimate is a dataset of monthly climate and climatic water balance for global terrestrial surfaces. It uses climatically aided interpolation, combining high-spatial resolution climatological normals from the WorldClim dataset, with coarser spatial resolution, but time-varying data from CRU Ts4.0 and the Japanese 55-year Reanalysis (JRA55). … climate drought evapotranspiration geophysical global merced -
iSDAsoil extractable Aluminium
Extractable aluminium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. Soil property predictions were made by Innovative Solutions for Decision Agriculture Ltd. (iSDA) at 30 m pixel size using machine learning coupled … africa aluminium isda soil -
iSDAsoil Depth to Bedrock
Depth to bedrock at 0-200 cm depth, predicted mean and standard deviation. Due to the potential cropland mask that was used for generating the data, many areas of exposed rock (where depth to bedrock would be 0 cm) have been masked out and therefore appear … africa bedrock isda soil -
iSDAsoil Bulk Density, <2mm Fraction
Bulk density, <2mm fraction at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with x/100. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) … africa bulk-density isda soil -
iSDAsoil Extractable Calcium
Extractable calcium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa calcium isda soil -
iSDAsoil Organic Carbon
Organic carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa carbon carbon-organic isda soil -
iSDAsoil Total Carbon
Total carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa aluminium isda soil -
iSDAsoil Effective Cation Exchange Capacity
Effective Cation Exchange Capacity predicted mean and standard deviation at soil depths of 0-20 cm and 20-50 cm, Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) … africa aluminium isda soil -
iSDAsoil Clay Content
Clay content at soil depths of 0-20 cm and 20-50 cm,\npredicted mean and standard deviation. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen. Soil property predictions were made by Innovative … africa clay isda soil -
iSDAsoil Fertility Capability Classification
Soil fertility capability classification derived using slope, chemical, and physical soil properties. For more information about this layer, please visit this page. The classes for the 'fcc' band apply to pixel values that must be back-transformed with x modulo 3000. In areas of dense jungle … africa fcc isda soil -
iSDAsoil Extractable Iron
Extractable iron at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa iron isda soil -
iSDAsoil Extractable Magnesium
Extractable magnesium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa isda magnesium soil -
iSDAsoil Total Nitrogen
Total nitrogen at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/100)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa isda nitrogen soil -
iSDAsoil pH
pH at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with x/10. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen. … africa isda ph soil -
iSDAsoil Extractable Phosphorus
Extractable phosphorus at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa isda phosphorus soil -
iSDAsoil Extractable Potassium
Extractable potassium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa isda potassium soil -
iSDAsoil Sand Content
Sand content at soil depths of 0-20 cm and 20-50 cm,\npredicted mean and standard deviation. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen. Soil property predictions were made by Innovative … africa isda sand soil -
iSDAsoil Silt Content
Silt content at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa isda silt soil -
iSDAsoil Stone Content
Stone content at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa isda soil stone -
iSDAsoil Extractable Sulphur
Extractable sulphur at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa isda soil sulphur -
iSDAsoil USDA Texture Class
USDA Texture Class at soil depths of 0-20 cm and 20-50 cm. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen. Soil property predictions were made by Innovative Solutions for Decision … africa aluminium isda soil -
iSDAsoil Extractable Zinc
Extractable zinc at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be … africa isda soil zinc -
ALOS/AVNIR-2 ORI
This dataset is contains orthorectified imagery from the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) sensor on-board the Advanced Land Observing Satellite (ALOS) "DAICHI". The AVNIR-2 ORI product was created from AVNIR-2 1B1 data after stereo matching with reference to ALOS's Panchromatic Remote-sensing … alos avnir-2 eorc jaxa orthorectified visible -
ALOS DSM: Global 30m v3.2
ALOS World 3D - 30m (AW3D30) is a global digital surface model (DSM) dataset with a horizontal resolution of approximately 30 meters (1 arcsec mesh). The dataset is based on the DSM dataset (5-meter mesh version) of the World 3D Topographic Data. More details are … alos dem elevation geophysical jaxa topography -
Global PALSAR-2/PALSAR Forest/Non-Forest Map
The global forest/non-forest map (FNF) is generated by classifying the SAR image (backscattering coefficient) in the global 25m resolution PALSAR-2/PALSAR SAR mosaic so that strong and low backscatter pixels are assigned as "forest" and "non-forest", respectively. Here, "forest" is defined as the natural forest with … alos alos2 classification eroc forest jaxa -
Global PALSAR-2/PALSAR Yearly Mosaic
The global 25m PALSAR/PALSAR-2 mosaic is a seamless global SAR image created by mosaicking strips of SAR imagery from PALSAR/PALSAR-2. For each year and location, the strip data were selected through visual inspection of the browse mosaics available over the period, with those showing minimum … alos alos2 eroc jaxa palsar sar -
GCOM-C/SGLI L3 Leaf Area Index (V1)
This product is the sum of the one-sided green leaf area per unit ground area. A newer version JAXA/GCOM-C/L3/LAND/LAI/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism … climate g-portal gcom gcom-c jaxa lai -
GCOM-C/SGLI L3 Leaf Area Index (V2)
This product is the sum of the one-sided green leaf area per unit ground area. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle … climate g-portal gcom gcom-c jaxa lai -
GCOM-C/SGLI L3 Leaf Area Index (V3)
This product is the sum of the one-sided green leaf area per unit ground area. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget … climate g-portal gcom gcom-c jaxa lai -
GCOM-C/SGLI L3 Land Surface Temperature (V1)
This product is the temperature of terrestrial land surface. A newer version JAXA/GCOM-C/L3/LAND/LST/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and … climate g-portal gcom gcom-c jaxa land -
GCOM-C/SGLI L3 Land Surface Temperature (V2)
This product is the temperature of terrestrial land surface. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate projections regarding … climate g-portal gcom gcom-c jaxa land -
GCOM-C/SGLI L3 Land Surface Temperature (V3)
This product is the temperature of terrestrial land surface. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make … climate g-portal gcom gcom-c jaxa land -
GCOM-C/SGLI L3 Chlorophyll-a Concentration (V1)
This product is the concentration of the photosynthetic pigment (chlorophyll-a) in phytoplankton in the sea surface layer. A newer version JAXA/GCOM-C/L3/OCEAN/CHLA/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate … chla chlorophyll-a climate g-portal gcom gcom-c -
GCOM-C/SGLI L3 Chlorophyll-a Concentration (V2)
This product is the concentration of the photosynthetic pigment (chlorophyll-a) in phytoplankton in the sea surface layer. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and … chla chlorophyll-a climate g-portal gcom gcom-c -
GCOM-C/SGLI L3 Chlorophyll-a Concentration (V3)
This product is the concentration of the photosynthetic pigment (chlorophyll-a) in phytoplankton in the sea surface layer. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in … chla chlorophyll-a climate g-portal gcom gcom-c -
GCOM-C/SGLI L3 Sea Surface Temperature (V1)
This product is the temperature of sea surface. A newer version JAXA/GCOM-C/L3/OCEAN/SST/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon … climate g-portal gcom gcom-c jaxa ocean -
GCOM-C/SGLI L3 Sea Surface Temperature (V2)
This product is the temperature of sea surface. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate projections regarding future … climate g-portal gcom gcom-c jaxa ocean -
GCOM-C/SGLI L3 Sea Surface Temperature (V3)
This product is the temperature of sea surface. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate … climate g-portal gcom gcom-c jaxa ocean -
GSMaP Operational: Global Satellite Mapping of Precipitation
Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive … climate geophysical gpm hourly jaxa precipitation -
GSMaP Reanalysis: Global Satellite Mapping of Precipitation
Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive … climate geophysical gpm hourly jaxa precipitation -
Murray Global Tidal Wetland Change v1.0 (1999-2019)
The Murray Global Tidal Wetland Change Dataset contains maps of the global extent of tidal wetlands and their change. The maps were developed from a three stage classification that sought to (i) estimate the global distribution of tidal wetlands (defined as either tidal marsh, tidal … coastal ecosystem intertidal landsat-derived mangrove murray -
GHSL: Global Human Settlement Layers, Built-Up Grid 1975-1990-2000-2015 (P2016)
The GHSL relies on the design and implementation of new spatial data mining technologies allowing to automatically process and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteered geographic information … built builtup jrc landsat-derived multitemporal -
GHSL: Global Human Settlement Layers, Population Grid 1975-1990-2000-2015 (P2016)
The GHSL relies on the design and implementation of new spatial data mining technologies allowing to automatically process and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteered geographic information … ciesin-derived jrc population -
GHSL: Global Human Settlement Layers, Settlement Grid 1975-1990-2000-2014 (P2016)
The GHSL relies on the design and implementation of new spatial data mining technologies allowing to automatically process and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteered geographic information … jrc settlements smod -
JRC Global Surface Water Mapping Layers, v1.3
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2020 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google jrc landsat-derived surface water -
JRC Global Surface Water Metadata, v1.3
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2020 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google jrc landsat-derived surface water -
JRC Monthly Water History, v1.3
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2020 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google history jrc landsat-derived monthly -
JRC Monthly Water Recurrence, v1.3
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2020 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google history jrc landsat-derived monthly -
JRC Yearly Water Classification History, v1.3
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2020 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … annual geophysical google history jrc landsat-derived -
GlobFire Daily Fire Event Detection Based on MCD64A1
Fire boundaries based on the MODIS dataset MCD64A1. The data were computed based on an algorithm that relies on encoding in a graph structure a space-time relationship among patches of burned areas. Each fire has a unique number identifying the event. area burnt disaster fire globfire mcd64a1 -
GlobFire Final Fire Event Detection Based on MCD64A1
Fire boundaries based on the MODIS dataset MCD64A1. The data were computed based on an algorithm that relies on encoding in a graph structure a space-time relationship among patches of burned areas. Each fire has a unique number identifying the event. area burnt disaster fire globfire mcd64a1 -
LUCAS Harmonized (Theoretical Location, 2006-2018) V1
The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and … eu jrc landcover landuse -
Iran Land Cover Map v1 13-class (2017)
The Iran-wide land cover map was generated by processing Sentinel imagery within the Google Earth Engine Cloud platform. For this purpose, over 2,500 Sentinel-1 and over 11,000 Sentinel-2 images were processed to produce a single mosaic dataset for the year 2017. Then, an object-based Random … iran kntu landcover -
LANDFIRE FRG (Fire Regime Groups) v1.2.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and … doi fire landfire nature-conservancy usda usgs -
LANDFIRE MFRI (Mean Fire Return Interval) v1.2.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and … doi fire landfire nature-conservancy usda usgs -
LANDFIRE PLS (Percent Low-severity Fire) v1.2.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and … doi fire landfire nature-conservancy usda usgs -
LANDFIRE PMS (Percent of Mixed-severity Fire) v1.2.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and … doi fire landfire nature-conservancy usda usgs -
LANDFIRE PRS (Percent of Replacement-severity Fire) v1.2.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and … doi fire landfire nature-conservancy usda usgs -
LANDFIRE SClass (Succession Classes) v1.4.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and … doi fire landfire nature-conservancy usda usgs -
LANDFIRE VCC (Vegetation Condition Class) v1.4.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and … doi fire landfire nature-conservancy usda usgs -
LANDFIRE VDep (Vegetation Departure) v1.4.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. Landfire (LF) Historical fire regimes, intervals, and … doi fire landfire nature-conservancy usda usgs -
LANDFIRE BPS (Biophysical Settings) v1.4.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive … doi fire landfire nature-conservancy usda usgs -
LANDFIRE ESP AK (Environmental Site Potential) v1.2.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive … doi fire landfire nature-conservancy usda usgs -
LANDFIRE ESP CONUS (Environmental Site Potential) v1.2.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive … doi fire landfire nature-conservancy usda usgs -
LANDFIRE ESP HI (Environmental Site Potential) v1.2.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive … doi fire landfire nature-conservancy usda usgs -
LANDFIRE EVC (Existing Vegetation Cover) v1.4.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive … doi fire landfire nature-conservancy usda usgs -
LANDFIRE EVH (Existing Vegetation Height) v1.4.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive … doi fire landfire nature-conservancy usda usgs -
LANDFIRE EVT (Existing Vegetation Type) v1.4.0
LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive … doi fire landfire nature-conservancy usda usgs -
Landsat Global Land Survey 1975
The Global Land Survey (GLS) 1975 is a global collection of imagery from the Landsat Multispectral Scanner (MSS). Most scenes were acquired by Landsat 1-3 in 1972-1983. A few gaps in the Landsat 1-3 data have been filled with scenes acquired by Landsat 4-5 during … global gls landsat radiance usgs -
Landsat Global Land Survey 2005, Landsat 5+7 scenes
The GLS2005 data set is a collection of 9500 orthorectified leaf-on medium-resolution satellite images collected between 2004 and 2007 and covering the Earth's land masses. GLS2005 uses mainly Landsat 5 and gap-filled Landsat 7 data with EO-1 ALI and Terra ASTER data filling in any … gls landsat radiance usgs -
Landsat Global Land Survey 2005, Landsat 5 scenes
The GLS2005 data set is a collection of 9500 orthorectified leaf-on medium-resolution satellite images collected between 2004 and 2007 and covering the Earth's land masses. GLS2005 uses mainly Landsat 5 and gap-filled Landsat 7 data with EO-1 ALI and Terra ASTER data filling in any … etm gls l5 landsat radiance usgs -
Landsat Global Land Survey 2005, Landsat 7 scenes
The GLS2005 data set is a collection of 9500 orthorectified leaf-on medium-resolution satellite images collected between 2004 and 2007 and covering the Earth's land masses. GLS2005 uses mainly Landsat 5 and gap-filled Landsat 7 data with EO-1 ALI and Terra ASTER data filling in any … etm gls l7 landsat radiance usgs -
USGS Landsat 8 Collection 1 Tier 1 Raw Scenes
Landsat 8 Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have … c1 global l8 landsat lc8 oli-tirs -
USGS Landsat 8 Collection 1 Tier 1 and Real-Time data Raw Scenes
Landsat 8 Collection 1 Tier 1 and Real-Time data DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed … c1 global l8 landsat lc8 nrt -
USGS Landsat 8 Collection 1 Tier 1 and Real-Time data TOA Reflectance
Landsat 8 Collection 1 Tier 1 and Real-Time data calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. c1 global l8 landsat lc8 nrt -
USGS Landsat 8 Collection 1 Tier 1 TOA Reflectance
Landsat 8 Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. c1 global l8 landsat lc8 oli-tirs -
USGS Landsat 8 Collection 1 Tier 2 Raw Scenes
Landsat 8 Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not … c1 global l8 landsat lc8 oli-tirs -
USGS Landsat 8 Surface Reflectance Tier 2
This dataset is the atmospherically corrected surface reflectance from the Landsat 8 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and two thermal infrared (TIR) bands processed to orthorectified brightness temperature … cfmask cloud fmask global l8sr landsat -
USGS Landsat 8 Collection 1 Tier 2 TOA Reflectance
Landsat 8 Collection 1 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. c1 global l8 landsat lc8 oli-tirs -
USGS Landsat 8 Collection 2 Tier 1 Raw Scenes
Landsat 8 Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have … c2 global l8 landsat lc8 oli-tirs -
USGS Landsat 8 Level 2, Collection 2, Tier 1
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 8 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal … cfmask cloud fmask global l8sr landsat -
USGS Landsat 8 Collection 2 Tier 1 and Real-Time data Raw Scenes
Landsat 8 Collection 2 Tier 1 and Real-Time data DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed … c2 global l8 landsat lc8 nrt -
USGS Landsat 8 Collection 2 Tier 1 and Real-Time data TOA Reflectance
Landsat 8 Collection 2 Tier 1 and Real-Time data calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Landsat scenes with the highest available data quality are placed into Tier 1 … c2 global l8 landsat lc8 toa -
USGS Landsat 8 Collection 2 Tier 1 TOA Reflectance
Landsat 8 Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered … c2 global landsat toa usgs -
USGS Landsat 8 Collection 2 Tier 2 Raw Scenes
Landsat 8 Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not … c2 global l8 landsat lc8 oli-tirs -
USGS Landsat 8 Level 2, Collection 2, Tier 2
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 8 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal … cfmask cloud fmask global l8sr landsat -
USGS Landsat 8 Collection 2 Tier 2 TOA Reflectance
Landsat 8 Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic … c2 global landsat toa usgs -
USGS Landsat 9 Collection 2 Tier 1 Raw Scenes
Landsat 9 Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have … c2 global l9 landsat lc9 oli-tirs -
USGS Landsat 9 Level 2, Collection 2, Tier 1
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 9 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal … cfmask cloud fmask global l9sr landsat -
USGS Landsat 9 Collection 2 Tier 1 TOA Reflectance
Landsat 9 Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered … c2 global landsat toa usgs -
USGS Landsat 9 Collection 2 Tier 2 Raw Scenes
Landsat 9 Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not … c2 global l9 landsat lc9 oli-tirs -
USGS Landsat 9 Level 2, Collection 2, Tier 2
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 9 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal … cfmask cloud fmask global l9sr landsat -
USGS Landsat 9 Collection 2 Tier 2 TOA Reflectance
Landsat 9 Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic … c2 global l9 landsat lc9 toa -
USGS Landsat 7 Collection 1 Tier 1 Raw Scenes
Landsat 7 Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have … c1 etm global l7 landsat le7 -
USGS Landsat 7 Collection 1 Tier 1 and Real-Time data Raw Scenes
Landsat 7 Collection 1 Tier 1 and Real-Time data DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed … c1 etm global l7 landsat le7 -
USGS Landsat 7 Collection 1 Tier 1 and Real-Time data TOA Reflectance
Landsat 7 Collection 1 Tier 1 and Real-Time data calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time … c1 etm global l7 landsat le7 -
USGS Landsat 7 Collection 1 Tier 1 TOA Reflectance
Landsat 7 Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time since 2017. c1 etm global l7 landsat le7 -
USGS Landsat 7 Collection 1 Tier 2 Raw Scenes
Landsat 7 Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not … c1 etm global l7 landsat le7 -
USGS Landsat 7 Surface Reflectance Tier 2
This dataset is the atmospherically corrected surface reflectance from the Landsat 7 ETM+ sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared (TIR) band processed to orthorectified brightness temperature. … cfmask cloud fmask global landsat le07 -
USGS Landsat 7 Collection 1 Tier 2 TOA Reflectance
Landsat 7 Collection 1 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time since 2017. c1 etm global l7 landsat le7 -
USGS Landsat 7 Collection 2 Tier 1 Raw Scenes
Landsat 7 Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have … c2 etm global l7 landsat le7 -
USGS Landsat 7 Level 2, Collection 2, Tier 1
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 7 ETM+ sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal … cfmask cloud etm fmask global landsat -
USGS Landsat 7 Collection 2 Tier 1 and Real-Time data Raw Scenes
Landsat 7 Collection 2 Tier 1 and Real-Time data DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed … c2 etm global l7 landsat le7 -
USGS Landsat 7 Collection 2 Tier 1 and Real-Time data TOA Reflectance
Landsat 7 Collection 2 Tier 1 and Real-Time data calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time … c2 global landsat toa usgs -
USGS Landsat 7 Collection 2 Tier 1 TOA Reflectance
Landsat 7 Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time since 2017. c2 global landsat toa usgs -
USGS Landsat 7 Collection 2 Tier 2 Raw Scenes
Landsat 7 Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not … c2 etm global l7 landsat le7 -
USGS Landsat 7 Level 2, Collection 2, Tier 2
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 7 ETM+ sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal … cfmask cloud etm fmask global landsat -
USGS Landsat 7 Collection 2 Tier 2 TOA Reflectance
Landsat 7 Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. Note that Landsat 7's orbit has been drifting to an earlier acquisition time since 2017. c2 global landsat toa usgs -
USGS Landsat 1 MSS Collection 1 Tier 1 Raw Scenes
Landsat 1 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c1 global l1 landsat lm1 mss -
USGS Landsat 1 MSS Collection 1 Tier 2 Raw Scenes
Landsat 1 MSS Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l1 landsat lm1 mss -
USGS Landsat 1 MSS Collection 2 Tier 1 Raw Scenes
Landsat 1 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c2 global l1 landsat lm1 mss -
USGS Landsat 1 MSS Collection 2 Tier 2 Raw Scenes
Landsat 1 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c2 global l1 landsat lm1 mss -
USGS Landsat 2 MSS Collection 1 Tier 1 Raw Scenes
Landsat 2 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c1 global l2 landsat lm2 mss -
USGS Landsat 2 MSS Collection 1 Tier 2 Raw Scenes
Landsat 2 MSS Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l2 landsat lm2 mss -
USGS Landsat 2 MSS Collection 2 Tier 1 Raw Scenes
Landsat 2 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c2 global l2 landsat lm2 mss -
USGS Landsat 2 MSS Collection 2 Tier 2 Raw Scenes
Landsat 2 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c2 global l2 landsat lm2 mss -
USGS Landsat 3 MSS Collection 1 Tier 1 Raw Scenes
Landsat 3 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c1 global l3 landsat lm3 mss -
USGS Landsat 3 MSS Collection 1 Tier 2 Raw Scenes
Landsat 3 MSS Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l3 landsat lm3 mss -
USGS Landsat 3 MSS Collection 2 Tier 1 Raw Scenes
Landsat 3 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c2 global l3 landsat lm3 mss -
USGS Landsat 3 MSS Collection 2 Tier 2 Raw Scenes
Landsat 3 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c2 global l3 landsat lm3 mss -
USGS Landsat 4 MSS Collection 1 Tier 1 Raw Scenes
Landsat 4 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c1 global l4 landsat lm4 mss -
USGS Landsat 4 MSS Collection 1 Tier 2 Raw Scenes
Landsat 4 MSS Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l4 landsat lm4 mss -
USGS Landsat 4 MSS Collection 2 Tier 1 Raw Scenes
Landsat 4 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c2 global l4 landsat lm4 mss -
USGS Landsat 4 MSS Collection 2 Tier 2 Raw Scenes
Landsat 4 MSS Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c2 global l4 landsat lm4 mss -
USGS Landsat 5 MSS Collection 1 Tier 1 Raw Scenes
Landsat 5 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c1 global l5 landsat lm5 mss -
USGS Landsat 5 MSS Collection 1 Tier 2 Raw Scenes
Landsat 5 MSS Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l5 landsat lm5 mss -
USGS Landsat 5 MSS Collection 2 Tier 1 Raw Scenes
Landsat 5 MSS Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c2 global l5 landsat lm5 mss -
USGS Landsat 8 Collection 1 Tier 1 OLI Raw Scenes
Landsat 8 Collection 1 Tier 1 OLI DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c1 global l8 landsat lo8 oli -
USGS Landsat 8 Collection 1 Tier 1 and Real-Time data OLI Raw Scenes
Landsat 8 Collection 1 Tier 1 and Real-Time data OLI DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) … c1 global l8 landsat lo8 nrt -
USGS Landsat 8 Collection 1 Tier 2 OLI Raw Scenes
Landsat 8 Collection 1 Tier 2 OLI DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l8 landsat lo8 oli -
USGS Landsat 4 TM Collection 1 Tier 1 Raw Scenes
Landsat 4 TM Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c1 global l4 landsat lt4 radiance -
USGS Landsat 4 TM Collection 1 Tier 1 TOA Reflectance
Landsat 4 TM Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. c1 global l4 landsat lt4 radiance -
USGS Landsat 4 TM Collection 1 Tier 2 Raw Scenes
Landsat 4 TM Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l4 landsat lt4 radiance -
USGS Landsat 4 Surface Reflectance Tier 2
This dataset is the atmospherically corrected surface reflectance from the Landsat 4 ETM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared (TIR) band processed to orthorectified brightness temperature. … cfmask cloud fmask global landsat ledaps -
USGS Landsat 4 TM Collection 1 Tier 2 TOA Reflectance
Landsat 4 TM Collection 1 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. c1 global l4 landsat lt4 radiance -
USGS Landsat 4 TM Collection 2 Tier 1 Raw Scenes
Landsat 4 TM Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c2 global l4 landsat lt4 radiance -
USGS Landsat 4 Level 2, Collection 2, Tier 1
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared … cfmask cloud fmask global landsat lasrc -
USGS Landsat 4 TM Collection 2 Tier 1 TOA Reflectance
Landsat 4 TM Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. global landsat toa usgs -
USGS Landsat 4 TM Collection 2 Tier 2 Raw Scenes
Landsat 4 TM Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c2 global l4 landsat lt4 radiance -
USGS Landsat 4 Level 2, Collection 2, Tier 2
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared … cfmask cloud fmask global landsat lasrc -
USGS Landsat 4 TM Collection 2 Tier 2 TOA Reflectance
Landsat 4 TM Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. global landsat toa usgs -
USGS Landsat 5 TM Collection 1 Tier 1 Raw Scenes
Landsat 5 TM Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c1 global l5 landsat lt5 radiance -
USGS Landsat 5 TM Collection 1 Tier 1 TOA Reflectance
Landsat 5 TM Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. c1 global l5 landsat lt5 radiance -
USGS Landsat 5 TM Collection 1 Tier 2 Raw Scenes
Landsat 5 TM Collection 1 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l5 landsat lt5 radiance -
USGS Landsat 5 Surface Reflectance Tier 2
This dataset is the atmospherically corrected surface reflectance from the Landsat 5 ETM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared (TIR) band processed to orthorectified brightness temperature. … cfmask cloud fmask global landsat ledaps -
USGS Landsat 5 TM Collection 1 Tier 2 TOA Reflectance
Landsat 5 TM Collection 1 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. c1 global l5 landsat lt5 radiance -
USGS Landsat 5 TM Collection 2 Tier 1 Raw Scenes
Landsat 5 TM Collection 2 Tier 1 DN values, representing scaled, calibrated at-sensor radiance. Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that … c2 global l5 landsat lt5 radiance -
USGS Landsat 5 Level 2, Collection 2, Tier 1
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared … cfmask cloud fmask global landsat lasrc -
USGS Landsat 5 TM Collection 2 Tier 1 TOA Reflectance
Landsat 5 TM Collection 2 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. global landsat toa usgs -
USGS Landsat 5 TM Collection 2 Tier 2 Raw Scenes
Landsat 5 TM Collection 2 Tier 2 DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c2 global l5 landsat lt5 radiance -
USGS Landsat 5 Level 2, Collection 2, Tier 2
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared … cfmask cloud fmask global landsat lasrc -
USGS Landsat 5 TM Collection 2 Tier 2 TOA Reflectance
Landsat 5 TM Collection 2 Tier 2 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation. global landsat toa usgs -
USGS Landsat 8 Collection 1 Tier 2 TIRS Raw Scenes
Landsat 8 Collection 1 Tier 2 TIRS DN values, representing scaled, calibrated at-sensor radiance. Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do … c1 global l8 landsat lt8 radiance -
Global Mangrove Forests Distribution, v1 (2000)
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 ciesin global landsat-derived mangrove nasa -
GEDI L2A Vector Canopy Top Height (Version 2)
The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth's carbon cycle and biodiversity. The GEDI instrument, attached to the International Space Station (ISS), collects data globally between 51.6° N and … elevation gedi larse nasa treecover usgs -
GEDI L2A Raster Canopy Top Height (Version 2)
The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth's carbon cycle and biodiversity. The GEDI instrument, attached to the International Space Station (ISS), collects data globally between 51.6° N and … elevation gedi larse nasa treecover usgs -
GEDI L4B Gridded Aboveground Biomass Density (Version 2)
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 gedi larse nasa treecover usgs -
MERIT DEM: Multi-Error-Removed Improved-Terrain DEM
MERIT DEM a high accuracy global DEM at 3 arc second resolution (~90 m at the equator) produced by eliminating major error components from existing DEMs (NASA SRTM3 DEM, JAXA AW3D DEM, Viewfinder Panoramas DEM). MERIT DEM separates absolute bias, stripe noise, speckle noise and … dem elevation merit topography -
MERIT Hydro: Global Hydrography Datasets
MERIT Hydro is a new global flow direction map at 3 arc-second resolution (~90 m at the equator) derived from the version 1.0.3 of the MERIT DEM elevation data and water body datasets (G1WBM, GSWO and OpenStreetMap). MERIT Hydro contains the output of a new … dem elevation flow-direction hand hydrography hydrosheds -
MERIT Hydro: Supplementary Visualization Layers
Supplementary visualization layers for MERIT Hydro dem elevation flow-direction hand hydrography hydrosheds -
MCD12Q1.006 MODIS Land Cover Type Yearly Global 500m
The MCD12Q1 V6 product provides global land cover types at yearly intervals (2001-2016) derived from six different classification schemes. It is derived using supervised classifications of MODIS Terra and Aqua reflectance data. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary … landcover mcd12q1 modis nasa usgs yearly -
MCD12Q2.006 Land Cover Dynamics Yearly Global 500m
The MCD12Q2 V6 Land Cover Dynamics product (informally called the MODIS Global Vegetation Phenology product) provides estimates of the timing of vegetation phenology at global scales. Additionally, it provides information related to the range and summation of the enhanced vegetation index (EVI) computed from MODIS … evi global mcd12q2 modis onset-greenness phenology -
MCD19A2.006: Terra & Aqua MAIAC Land Aerosol Optical Depth Daily 1km
The MCD19A2 V6 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. Documentation: User's Guide Algorithm … aerosol aod aqua daily global maiac -
MCD43A1.006 MODIS BRDF-Albedo Model Parameters Daily 500m
The MCD43A1 V6 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 brdf daily global mcd43a1 modis -
MCD43A2.006 MODIS BRDF-Albedo Quality Daily 500m
The MCD43A2 V6 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 brdf daily global mcd43a2 modis -
MCD43A3.006 MODIS Albedo Daily 500m
The MCD43A3 V6 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 black-sky daily global mcd43a3 modis -
MCD43A4.006 MODIS Nadir BRDF-Adjusted Reflectance Daily 500m
The MCD43A4 V6 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 brdf daily global mcd43a4 modis -
MCD43C3.00C BRDF/Albedo Daily L3 0.05 Deg CMG
The MCD43C3 Version 6 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 black-sky brdf daily global mcd43c3 -
MCD64A1.006 MODIS Burned Area Monthly Global 500m
The Terra and Aqua combined MCD64A1 Version 6 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 fire geophysical global mcd64a1 modis -
MOD10A1.006 Terra Snow Cover Daily Global 500m
The MOD10A1 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 daily geophysical global mod10a1 modis -
MOD14A1.006: Terra Thermal Anomalies & Fire Daily Global 1km
The MOD14A1 V6 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 fire global mod14a1 modis nasa -
MOD16A2.006: Terra Net Evapotranspiration 8-Day Global 500m
The MOD16A2 Version 6 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 evapotranspiration global mod16a2 modis nasa -
MOD17A2H.006: Terra Gross Primary Productivity 8-Day Global 500M 500m
The MOD17A2H V6 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 global gpp mod17a2 modis nasa -
MOD17A3HGF.006: Terra Net Primary Production Gap-Filled Yearly Global 500m
The MOD17A3HGF V6 product provides information about annual Net Primary Productivity (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 the Gross Primary … global gpp mod17a3 mod17a3gf modis nasa -
MOD44B.006 Terra Vegetation Continuous Fields Yearly Global 250m
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 geophysical global mod44b modis nasa -
MOD44W.006 Terra Land Water Mask Derived From MODIS and SRTM Yearly Global 250m
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 mod44w modis nasa srtm usgs -
MODOCGA.006 Terra Ocean Reflectance Daily Global 1km
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 global modis modocga nasa ocean -
MYD10A1.006 Aqua Snow Cover Daily Global 500m
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 aqua daily geophysical global modis -
MYD14A1.006: Aqua Thermal Anomalies & Fire Daily Global 1km
The MYD14A1 V6 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 daily fire global modis myd14a1 -
MYD17A2H.006: Aqua Gross Primary Productivity 8-Day Global 500M 500m
The MYD17A2H V6 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 aqua global gpp modis myd17a2 -
MYD17A3HGF.006: Aqua Net Primary Production Gap-Filled Yearly Global 500m
The MYD17A3HGF V6 product provides information about annual Net Primary Productivity (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 the Gross Primary … aqua global gpp modis myd17a3 myd17a3gf -
MYDOCGA.006 Aqua Ocean Reflectance Daily Global 1km
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 daily global modis mydocga nasa -
MCD15A3H.061 MODIS Leaf Area Index/FPAR 4-Day Global 500m
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 … 4-day fpar global lai mcd15a3h modis -
MOD08_M3.061 Terra Atmosphere Monthly Global Product
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 geophysical global mod08 mod08-m3 modis -
MOD09A1.061 Terra Surface Reflectance 8-Day Global 500m
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 global mod09a1 modis nasa sr -
MOD09GA.061 Terra Surface Reflectance Daily Global 1km and 500m
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 global mod09ga modis nasa sr -
MOD09GQ.061 Terra Surface Reflectance Daily Global 250m
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 global mod09gq modis nasa sr -
MOD09Q1.061 Terra Surface Reflectance 8-Day Global 250m
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 global mod09q1 modis nasa sr -
MOD11A1.061 Terra Land Surface Temperature and Emissivity Daily Global 1km
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 emissivity global lst mod11a1 modis -
MOD11A2.061 Terra Land Surface Temperature and Emissivity 8-Day Global 1km
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 8 day compositing … 8-day emissivity global lst mod11a2 modis -
MOD13A1.061 Terra Vegetation Indices 16-Day Global 500m
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 evi global mod13a1 modis nasa -
MOD13A2.061 Terra Vegetation Indices 16-Day Global 1km
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 evi global mod13a2 modis nasa -
MOD13Q1.061 Terra Vegetation Indices 16-Day Global 250m
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 evi global mod13q1 modis nasa -
MOD14A2.061: Terra Thermal Anomalies & Fire 8-Day Global 1km
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 fire global mod14a2 modis nasa -
MOD15A2H.061: Terra Leaf Area Index/FPAR 8-Day Global 500m
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 fpar global lai mod15a2h modis -
MYD08_M3.061 Aqua Atmosphere Monthly Global Product
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 atmosphere geophysical global modis monthly -
MYD09A1.061 Aqua Surface Reflectance 8-Day Global 500m
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 aqua global modis myd09a1 nasa -
MYD09GA.061 Aqua Surface Reflectance Daily Global 1km and 500m
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 daily global modis myd09ga nasa -
MYD09GQ.061 Aqua Surface Reflectance Daily Global 250m
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 daily global modis myd09gq nasa -
MYD09Q1.061 Aqua Surface Reflectance 8-Day Global 250m
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 aqua global modis myd09q1 nasa -
MYD11A1.061 Aqua Land Surface Temperature and Emissivity Daily Global 1km
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 daily emissivity global lst modis -
MYD11A2.061 Aqua Land Surface Temperature and Emissivity 8-Day Global 1km
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 8 day compositing … 8-day aqua emissivity global lst modis -
MYD13A1.061 Aqua Vegetation Indices 16-Day Global 500m
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 aqua evi global modis myd13a1 -
MYD13A2.061 Aqua Vegetation Indices 16-Day Global 1km
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 aqua evi global modis myd13a2 -
MYD13Q1.061 Aqua Vegetation Indices 16-Day Global 250m
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 aqua evi global modis myd13q1 -
MYD14A2.061: Aqua Thermal Anomalies & Fire 8-Day Global 1km
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 aqua fire global modis myd14a2 -
MYD15A2H.061: Aqua Leaf Area Index/FPAR 8-Day Global 500m
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 aqua fpar global lai modis -
MOD44W.005 Land Water Mask Derived From MODIS and SRTM
The Global Water Mask uses the SWBD (SRTM Water Body Data) in combination with MODIS 250m data to create a complete global map of surface water at 250m spatial resolution, circa 2000-2002. This dataset is intended for use in processing of raster data and for … geophysical mod44w modis srtm water-mask -
MOD16A2: MODIS Global Terrestrial Evapotranspiration 8-Day Global 1km
The MOD16A2 V105 product provides information about 8-day global terrestrial evapotranspiration at 1km pixel resolution. Evapotranspiration (ET) is the sum of evaporation and plant transpiration from the Earth's surface to the atmosphere. With long-term ET data, the effects of changes in climate, land use, and … 8-day evapotranspiration global mod16a2 modis -
AG100: ASTER Global Emissivity Dataset 100-meter V003
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 caltech elevation emissivity ged geophysical -
FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System
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 evapotranspiration famine fldas humidity ldas -
GEOS-CF rpl htf v1: Goddard Earth Observing System Composition Forecast
This dataset contains meteorological replay (rpl) of high-temporal frequency data (htf). The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a high-resolution (0.25°) global constituent prediction system from NASA's Global Modeling and Assimilation Office(GMAO). GEOS-CF offers a new tool for atmospheric chemistry research, with … composition forecast geos gmao nasa -
GIMMS NDVI From AVHRR Sensors (3rd Generation)
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 gimms nasa ndvi noaa vegetation -
GLDAS-2.1: Global Land Data Assimilation System
Global Land Data Assimilation System (GLDAS) ingests satellite and ground-based observational data products. Using advanced land surface modeling and data assimilation techniques, it generates optimal fields of land surface states and fluxes. GLDAS-2.1 is one of two components of the GLDAS Version 2 (GLDAS-2) dataset, … 3-hourly climate evaporation forcing geophysical gldas -
Reprocessed GLDAS-2.0: Global Land Data Assimilation System
Global Land Data Assimilation System (GLDAS) ingests satellite and ground-based observational data products. Using advanced land surface modeling and data assimilation techniques, it generates optimal fields of land surface states and fluxes. GLDAS-2.0 is one of two components of the GLDAS Version 2 (GLDAS-2) dataset, … 3-hourly climate evaporation forcing geophysical gldas -
GPM: Monthly Global Precipitation Measurement (GPM) v6
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 geophysical gpm imerg jaxa monthly -
GPM: Global Precipitation Measurement (GPM) v6
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 geophysical gpm half-hourly imerg jaxa -
GRACE Monthly Mass Grids - Land
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 gfz grace gravity jpl land -
GRACE Monthly Mass Grids - Global Mascons
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 … grace gravity jpl mascon mass nasa -
GRACE Monthly Mass Grids - Global Mascon (CRI Filtered)
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 … grace gravity jpl mascon mass nasa -
GRACE Monthly Mass Grids - Ocean
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 gfz grace gravity jpl mass -
GRACE Monthly Mass Grids - Ocean EOFR
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 gfz grace gravity jpl mass -
Global Forest Canopy Height, 2005
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 forest geophysical glas height jpl -
Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m
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 glcf landsat-derived nasa umd -
NASADEM: NASA NASADEM Digital Elevation 30m
NASADEM is a reprocessing of STRM 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 elevation geophysical nasa nasadem srtm -
NEX-DCP30: NASA Earth Exchange Downscaled Climate Projections
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 … climate cmip5 csu geophysical nasa nex -
NEX-DCP30: Ensemble Stats for NASA Earth Exchange Downscaled Climate Projections
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 … climate cmip5 csu geophysical nasa nex -
NEX-GDDP: NASA Earth Exchange Global Daily Downscaled Climate Projections
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 … climate cmip5 csu gddp geophysical nasa -
NLDAS-2: North American Land Data Assimilation System Forcing Fields
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 evaporation forcing geophysical hourly humidity -
Ocean Color SMI: Standard Mapped Image MODIS Aqua Data
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 chlorophyll climate modis nasa ocean -
Ocean Color SMI: Standard Mapped Image MODIS Terra Data
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 chlorophyll climate modis nasa ocean -
Ocean Color SMI: Standard Mapped Image SeaWiFS Data
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 chlorophyll climate nasa ocean oceandata -
Daymet V4: Daily Surface Weather and Climatological Summaries
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 daily daylight daymet flux geophysical -
Global Aboveground and Belowground Biomass Carbon Density Maps
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 belowground biomass carbon density forests -
NASA-USDA Enhanced SMAP Global Soil Moisture Data
The NASA-USDA Enhanced SMAP Global soil moisture data provides soil moisture information across the globe at 10-km spatial resolution. This dataset includes: surface and subsurface soil moisture (mm), soil moisture profile (%), surface and subsurface soil moisture anomalies (-). The dataset is generated by integrating … geophysical hsl moisture nasa smap soil -
NCEP/NCAR Reanalysis Data, Sea-Level Pressure
The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to … atmosphere climate geophysical ncep noaa pressure -
NCEP/NCAR Reanalysis Data, Surface Temperature
The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to … atmosphere climate geophysical ncep noaa reanalysis -
NCEP/NCAR Reanalysis Data, Water Vapor
The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to … atmosphere climate geophysical ncep noaa precipitable -
NOAA CDR: Ocean Near-Surface Atmospheric Properties, Version 2
The Ocean Near-Surface Atmospheric Properties dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of air temperature, wind speed, and specific humidity over ice-free ocean surfaces. These atmospheric properties are calculated based on brightness temperature … air-temperature atmospheric cdr hourly humidity noaa -
NOAA CDR AVHRR AOT: Daily Aerosol Optical Thickness Over Global Oceans, v03
The NOAA Climate Data Record (CDR) of Aerosol Optical Thickness (AOT) is a collection of global daily 0.1 degree derived data from the PATMOS-x AVHRR level-2b channel 1 (0.63 micron) orbital clear-sky radiance. The aerosol product is generated from AVHRR imagery in cloud-free conditions during … aerosol aot atmospheric avhrr cdr daily -
NOAA CDR AVHRR LAI FAPAR: Leaf Area Index and Fraction of Absorbed Photosynthetically Active Radiation, Version 5
The NOAA Climate Data Record (CDR) of AVHRR Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) dataset contains derived values that characterize the canopy and photosynthetic activity of plants. This dataset is derived from the NOAA AVHRR Surface Reflectance product and … avhrr cdr daily fapar lai land -
NOAA CDR AVHRR NDVI: Normalized Difference Vegetation Index, Version 5
The NOAA Climate Data Record (CDR) of AVHRR Normalized Difference Vegetation Index (NDVI) contains gridded daily NDVI derived from the NOAA AVHRR Surface Reflectance product. It provides a measurement of surface vegetation coverage activity, gridded at a resolution of 0.05° and computed globally over land … avhrr cdr daily land ndvi noaa -
NOAA CDR AVHRR: Surface Reflectance, Version 5
The NOAA Climate Data Record (CDR) of AVHRR Surface Reflectance contains gridded daily surface reflectance and brightness temperatures derived from the Advanced Very High Resolution Radiometer (AVHRR) sensors onboard seven NOAA polar orbiting satellites. The data are gridded at a resolution of 0.05° and computed … avhrr cdr daily land noaa reflectance -
NOAA CDR GRIDSAT-B1: Geostationary IR Channel Brightness Temperature
This dataset provides a high quality Climate Data Record (CDR) of global infrared measurements from geostationary satellites. The geostationary satellite data (GridSat-B1) provides data from 3 channels: the CDR-quality infrared window (IRWIN) channel (near 11μm), the visible channel (near 0.6μm) and the infrared water vapor … brightness cdr fundamental geostationary infrared isccp -
NOAA CDR: Ocean Heat Fluxes, Version 2
The Ocean Heat Fluxes dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of the air/ocean heat fluxes over ice-free oceans. This dataset is calculated from the OSB CDR parameters of near-surface atmospheric and sea … atmospheric cdr flux heat hourly noaa -
NOAA CDR OISST v02r01: Optimum Interpolation Sea Surface Temperature
The NOAA 1/4 degree daily Optimum Interpolation Sea Surface Temperature (OISST) provides complete ocean temperature fields constructed by combining bias-adjusted observations from different platforms (satellite, ships, buoys) on a regular global grid, with gaps filled in by interpolation. Satellite data from the Advanced Very High … avhrr cdr daily ice noaa ocean -
NOAA CDR PATMOSX: Cloud Properties, Reflectance, and Brightness Temperatures, Version 5.3
This dataset provides high quality Climate Data Record (CDR) of multiple cloud properties along with Advanced Very High Resolution Radiometer (AVHRR) brightness temperatures and reflectances. These data have been fitted to a 0.1 x 0.1 equal angle-grid with both ascending and descending assets generated daily … atmospheric avhrr brightness cdr cloud metop -
NOAA AVHRR Pathfinder Version 5.3 Collated Global 4km Sea Surface Temperature
The AVHRR Pathfinder Version 5.3 Sea Surface Temperature dataset (PFV53) is a collection of global, twice-daily 4km sea surface temperature data produced in a partnership by the NOAA National Oceanographic Data Center and the University of Miami's Rosenstiel School of Marine and Atmospheric Science. PFV53 … avhrr noaa pathfinder sea-ice sst temperature -
NOAA CDR WHOI: Sea Surface Temperature, Version 2
The Sea Surface Temperature - WHOI dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of sea surface temperature over ice-free oceans. The SST values are found through modeling the diurnal variability in combination with … atmospheric cdr hourly noaa ocean oisst -
CFSR: Climate Forecast System Reanalysis
The National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) was designed and executed as a global, high-resolution, coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains over the 32-year period of record from January … climate daylight flux forecast geophysical ncep -
CFSV2: NCEP Climate Forecast System Version 2, 6-Hourly Products
The National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS) is a fully coupled model representing the interaction between the Earth's atmosphere, oceans, land, and sea ice. CFS was developed at the Environmental Modeling Center (EMC) at NCEP. The operational CFS was upgraded to … climate daylight flux forecast geophysical ncep -
DMSP OLS: Global Radiance-Calibrated Nighttime Lights Version 4, Defense Meteorological Program Operational Linescan System
The Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) has a unique capability to detect visible and near-infrared (VNIR) emission sources at night. This collection contains global nighttime lights images with no sensor saturation. The sensor is typically operated at a high-gain setting to enable … calibrated dmsp eog imagery lights nighttime -
DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System
The Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) has a unique capability to detect visible and near-infrared (VNIR) emission sources at night. Version 4 of the DMSP-OLS Nighttime Lights Time Series consists of cloud-free composites made using all the available archived DMSP-OLS smooth resolution … dmsp eog imagery lights nighttime ols -
GFS: Global Forecast System 384-Hour Predicted Atmosphere Data
The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). The GFS dataset consists of selected model outputs (described below) as gridded forecast variables. The 384-hour forecasts, with 3-hour forecast interval, are made at 6-hour temporal … climate cloud emc flux forecast geophysical -
GOES-16 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS
The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that … abi climate fdc fire goes goes-16 -
GOES-16 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk
The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that … abi climate fdc fire goes goes-16 -
GOES-16 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS
The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature … abi climate goes goes-16 goes-east goes-r -
GOES-16 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk
The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature … abi climate goes goes-16 goes-east goes-r -
GOES-16 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale
The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature … abi climate goes goes-16 goes-east goes-r -
GOES-17 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS
The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that … abi climate fdc fire goes goes-17 -
GOES-17 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk
The Fire (HSC) product contains four images: one in the form of a fire mask and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. The ABI L2+ FHS metadata mask assigns a flag to every earth-navigated pixel that … abi climate fdc fire goes goes-17 -
GOES-17 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS
The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature … abi climate goes goes-17 goes-east goes-r -
GOES-17 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk
The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature … abi climate goes goes-17 goes-east goes-r -
GOES-17 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Full Disk
The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature … abi climate goes goes-17 goes-east goes-r -
NCEP-DOE Reanalysis 2 (Gaussian Grid), Total Cloud Coverage
NCEP-DOE Reanalysis 2 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1979 through the previous year. atmosphere climate cloud geophysical ncep noaa -
ETOPO1: Global 1 Arc-Minute Elevation
ETOPO1 is a 1 arc-minute global relief model of Earth''s surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. It contains two elevation bands: ice_surface and bedrock. bathymetry bedrock dem elevation etopo1 geophysical -
NOAA NHC HURDAT2 Atlantic Hurricane Catalog
Hurricane best track database (HURDAT2). Atlantic basin 1851-2018. hurricane nhc noaa weather -
NOAA NHC HURDAT2 Pacific Hurricane Catalog
Hurricane best track database (HURDAT2). Pacific basin 1949-2018. hurricane nhc noaa weather -
RTMA: Real-Time Mesoscale Analysis
The Real-Time Mesoscale Analysis (RTMA) is a high-spatial and temporal resolution analysis for near-surface weather conditions. This dataset includes hourly analyses at 2.5 km for CONUS. climate cloud geophysical humidity noaa nws -
PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record
PERSIANN-CDR is a daily quasi-global precipitation product that spans the period from 1983-01-01 to present. The data is produced quarterly, with a typical lag of three months. The product is developed by the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine … cdr climate geophysical ncdc noaa persiann -
VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km
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 nasa noaa npp reflectance sr -
VNP13A1: VIIRS Vegetation Indices 16-Day 500m
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 evi nasa ndvi noaa npp -
VIIRS Nighttime Day/Night Band Composites Version 1
Monthly average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month. … dnb eog lights monthly nighttime noaa -
VIIRS Stray Light Corrected Nighttime Day/Night Band Composites Version 1
Monthly average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month. … dnb eog lights monthly nighttime noaa -
Canadian Digital Elevation Model
The Canadian Digital Elevation Model (CDEM) is part of Natural Resources Canada's (NRCan) altimetry system and stems from the existing Canadian Digital Elevation Data (CDED). In these data, elevations can be either ground or reflective surface elevations. The CDEM is comprised of multiple DEMs with … canada cdem dem elevation geophysical nrcan -
PRISM Daily Spatial Climate Dataset AN81d
The PRISM daily and monthly datasets are gridded climate datasets for the conterminous United States, produced by the PRISM Climate Group at Oregon State University. Grids are developed using PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM interpolation routines simulate how weather and climate vary … climate daily geophysical oregonstate precipitation pressure -
PRISM Monthly Spatial Climate Dataset AN81m
The PRISM daily and monthly datasets are gridded climate datasets for the conterminous United States, produced by the PRISM Climate Group at Oregon State University. Grids are developed using PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM interpolation routines simulate how weather and climate vary … climate geophysical monthly oregonstate precipitation pressure -
PRISM Long-Term Average Climate Dataset Norm81m
The PRISM daily and monthly datasets are gridded climate datasets for the conterminous United States, produced by the PRISM Climate Group at Oregon State University. Grids are developed using PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM interpolation routines simulate how weather and climate vary … 30-year climate geophysical oregonstate precipitation pressure -
Greenland Ice & Ocean Mask - Greenland Mapping Project (GIMP)
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 gimp greenland ice mask nasa -
2000 Greenland Mosaic - Greenland Ice Mapping Project (GIMP)
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 gimp greenland imagery nasa polar -
Greenland DEM - Greenland Mapping Project (GIMP)
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 gimp greenland nasa polar -
MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images Version 2
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 gimp greenland ice nasa polar -
OpenLandMap Long-term Land Surface Temperature Monthly Day-Night Difference
Long-term MODIS LST day-time and night-time differences at 1 km based on the 2000-2017 time series Derived using the data.table package and quantile function in R . For more info about the MODIS LST product see this page. Antartica is not included. To access and … day envirometrix lst mod11a2 modis monthly -
OpenLandMap Long-term Land Surface Temperature Daytime Monthly Median
Land Surface Temperature daytime monthly mean value 2000-2017. Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antartica is not included. To access and visualize maps outside of Earth Engine, use this page. … envirometrix lst mod11a2 modis monthly opengeohub -
OpenLandMap Long-term Land Surface Temperature Daytime Monthly Standard Deviation
Long-term MODIS LST day-time and night-time temperatures standard deviation at 1 km based on the 2000-2017 time series. Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antartica is not included. To access … envirometrix lst mod11a2 modis monthly opengeohub -
OpenLandMap Precipitation Monthly
Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018, IMERG, CHELSA Climate, and WorldClim. Downscaled to 1 km resolution using gdalwarp (cubic splines) and an average between WorldClim, CHELSA Climate, and IMERG monthly product (see, e.g, \"3B-MO-L.GIS.IMERG.20180601.V05B.tif\"). 3x higher weight is given … envirometrix imerg monthly opengeohub openlandmap precipitation -
OpenLandMap Potential Distribution of Biomes
Potential Natural Vegetation biomes global predictions of classes (based on predictions using the BIOMES 6000 dataset's 'current biomes' category.) Potential Natural Vegetation (PNV) is the vegetation cover in equilibrium with climate that would exist at a given location non-impacted by human activities. PNV is useful … biome envirometrix opengeohub openlandmap potential -
OpenLandMap Potential FAPAR Monthly
Potential Natural Vegetation FAPAR predicted monthly median (based on PROB-V FAPAR 2014-2017). Description. To access and visualize maps outside of Earth Engine, use this page. If you discover a bug, artifact or inconsistency in the LandGIS maps or if you have a question please use … envirometrix fapar monthly opengeohub openlandmap potential -
OpenLandMap Soil Bulk Density
Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Processing steps are described in detail here. Antartica is not included. To access and visualize maps outside of Earth … bulk density envirometrix opengeohub openlandmap soil -
OpenLandMap Clay Content
Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here . Antartica … clay envirometrix opengeohub openlandmap soil usda -
OpenLandMap Predicted Hapludalfs Probability
Predicted USDA soil great groups at 250 m (probabilities). Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles. To learn more about soil great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS … argillic envirometrix hapludalfs opengeohub openlandmap -
OpenLandMap USDA Soil Taxonomy Great Groups
Predicted USDA soil great group probablities at 250m Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles. To learn more about soil great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - … envirometrix opengeohub openlandmap soil taxonomy usda -
OpenLandMap Soil Organic Carbon Content
Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Predicted from a global compilation of soil points. Processing steps are described in detail here . Antartica is not … carbon envirometrix opengeohub openlandmap organic soil -
OpenLandMap Soil pH in H2O
Soil pH in H2O at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Processing steps are described in detail here . Antartica is not included. To access and visualize maps outside of Earth Engine, use this page. If … envirometrix opengeohub openlandmap ph soil -
OpenLandMap Sand Content
Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here . Antartica … envirometrix opengeohub openlandmap sand soil usda -
OpenLandMap Soil Texture Class (USDA System)
Soil texture classes (USDA system) for 6 soil depths (0, 10, 30, 60, 100 and 200 cm) at 250 m Derived from predicted soil texture fractions using the soiltexture package in R. Processing steps are described in detail here . Antartica is not included. To … envirometrix opengeohub openlandmap soil texture usda -
OpenLandMap Soil Water Content at 33kPa (Field Capacity)
Soil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution Training points are based on a global compilation of soil profiles: USDA NCSS AfSPDB ISRIC WISE EGRPR SPADE … envirometrix opengeohub openlandmap soil watercontent -
Oxford MAP EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index
The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. Gap-free outputs were then aggregated temporally and … evi map oxford vegetation -
Oxford MAP: Malaria Atlas Project Fractional International Geosphere-Biosphere Programme Landcover
The underlying dataset for this landcover product is the IGBP layer found within the MODIS annual landcover product (MCD12Q1). This data was converted from its categorical format, which has a ≈500 meter resolution, to a fractional product indicating the integer percentage (0-100) of the output … igpb landcover map oxford -
Oxford MAP LST: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature
The underlying dataset for this daytime product is MODIS land surface temperature data (MOD11A2), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. Gap-free outputs were then aggregated temporally and spatially … lst map oxford surface-temperature -
Oxford MAP LST: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature
The underlying dataset for this nighttime product is MODIS land surface temperature data (MOD11A2), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. Gap-free outputs were then aggregated temporally and spatially … lst map oxford surface-temperature -
Oxford MAP TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness
This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by …