Layers include: lithology (15) and landform (7) indicator maps (0-100%). Derived from the USGS Global Ecosystem Map, i.e. the EcoTapestry map. Water bodies masked out. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: dtm = theme: digital terrain models / relief and soil, lithology = variable: lithol...
In response to the need and an intergovernmental commission for a high resolution and data-derived g...
Land cover maps are essential for characterizing the biophysical properties of the Earth’s land area...
Recent rapid increases in the quality, volume and accessibility of Earth Observation data has spawne...
Layers include: lithology (16) and landform (7) indicator maps (0-100%). Derived from the USGS Globa...
Landsat bands (cloud free) and tree cover (2000) based on Hansen et al. (2013), global surface water...
Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at ...
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolu...
Based on the UNEP historic forest cover map, ESA land cover time series and intact forest landscape ...
Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Soil pH in H2O in × 10 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Pro...
Potential distribution of biomes (Potential Natural Vegetation) at 250 m spatial resolution based on...
Silt content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Potential distribution of land cover classes (Potential Natural Vegetation) at 250 m spatial resolut...
Soil texture classes (USDA system) for 6 standard soil depths (0, 10, 30, 60, 100 and 200 cm) at 250...
Layers include: various DEM derivatives computed using SAGA GIS at 250 m and using MERIT DEM (Yamaza...
In response to the need and an intergovernmental commission for a high resolution and data-derived g...
Land cover maps are essential for characterizing the biophysical properties of the Earth’s land area...
Recent rapid increases in the quality, volume and accessibility of Earth Observation data has spawne...
Layers include: lithology (16) and landform (7) indicator maps (0-100%). Derived from the USGS Globa...
Landsat bands (cloud free) and tree cover (2000) based on Hansen et al. (2013), global surface water...
Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at ...
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolu...
Based on the UNEP historic forest cover map, ESA land cover time series and intact forest landscape ...
Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Soil pH in H2O in × 10 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Pro...
Potential distribution of biomes (Potential Natural Vegetation) at 250 m spatial resolution based on...
Silt content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Potential distribution of land cover classes (Potential Natural Vegetation) at 250 m spatial resolut...
Soil texture classes (USDA system) for 6 standard soil depths (0, 10, 30, 60, 100 and 200 cm) at 250...
Layers include: various DEM derivatives computed using SAGA GIS at 250 m and using MERIT DEM (Yamaza...
In response to the need and an intergovernmental commission for a high resolution and data-derived g...
Land cover maps are essential for characterizing the biophysical properties of the Earth’s land area...
Recent rapid increases in the quality, volume and accessibility of Earth Observation data has spawne...