- |---| | [### OpenLandMap Clay Content ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02) | | 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. Antarctica is ... | | [clay](https://developers.google.com/earth-engine/datasets/tags/clay) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [usda](https://developers.google.com/earth-engine/datasets/tags/usda) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Daytime Monthly Median ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_M_v01) | | 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. Antarctica is not included. To access and visualize maps outside of Earth Engine, use this page. ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [lst](https://developers.google.com/earth-engine/datasets/tags/lst) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Daytime Monthly Standard Deviation ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01) | | 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. Antarctica is not included. To access ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [lst](https://developers.google.com/earth-engine/datasets/tags/lst) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Monthly Day-Night Difference ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAYNIGHT_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAYNIGHT_M_v01) | | 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. Antarctica is not included. To access and visualize ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [day](https://developers.google.com/earth-engine/datasets/tags/day) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [lst](https://developers.google.com/earth-engine/datasets/tags/lst) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) | - |---| | [### OpenLandMap Potential Distribution of Biomes ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_PNV_PNV_BIOME-TYPE_BIOME00K_C_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_PNV_PNV_BIOME-TYPE_BIOME00K_C_v01) | | 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 ... | | [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [potential](https://developers.google.com/earth-engine/datasets/tags/potential) | - |---| | [### OpenLandMap Potential FAPAR Monthly ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_PNV_PNV_FAPAR_PROBA-V_D_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_PNV_PNV_FAPAR_PROBA-V_D_v01) | | 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](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [fapar](https://developers.google.com/earth-engine/datasets/tags/fapar) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity) | - |---| | [### OpenLandMap Precipitation Monthly ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_PRECIPITATION_SM2RAIN_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_PRECIPITATION_SM2RAIN_M_v01) | | 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](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation) | - |---| | [### OpenLandMap Predicted Hapludalfs Probability ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX-HAPLUDALFS_P_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX-HAPLUDALFS_P_v01) | | 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 ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) | - |---| | [### OpenLandMap Sand Content ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02) | | 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. Antarctica is ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [sand](https://developers.google.com/earth-engine/datasets/tags/sand) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [usda](https://developers.google.com/earth-engine/datasets/tags/usda) | - |---| | [### OpenLandMap Soil Bulk Density ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02) | | 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. Antarctica is not included. To access and visualize maps outside of Earth ... | | [density](https://developers.google.com/earth-engine/datasets/tags/density) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) | - |---| | [### OpenLandMap Soil Organic Carbon Content ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02) | | 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. Antarctica is not included. ... | | [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) | - |---| | [### OpenLandMap Soil Texture Class (USDA System) ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_TEXTURE-CLASS_USDA-TT_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_TEXTURE-CLASS_USDA-TT_M_v02) | | 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. Antarctica is not included. To access ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [usda](https://developers.google.com/earth-engine/datasets/tags/usda) | - |---| | [### OpenLandMap Soil Water Content at 33kPa (Field Capacity) ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01) | | 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](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) | - |---| | [### OpenLandMap Soil pH in H2O ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02) | | 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. Antarctica is not included. To access and visualize maps outside of Earth Engine, use this page. If you ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [ph](https://developers.google.com/earth-engine/datasets/tags/ph) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) | - |---| | [### OpenLandMap USDA Soil Taxonomy Great Groups ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01) | | Predicted USDA soil great group probabilities 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](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [usda](https://developers.google.com/earth-engine/datasets/tags/usda) |