Soil texture classes (USDA system) for 6 standard 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 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: sol = theme: soil, ...
Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10,...
Layers include: lithology (15) and landform (7) indicator maps (0-100%). Derived from the USGS Globa...
iSDAsoil dataset soil texture classes derived from sand, silt and clay fractions at 30 m resolution ...
Soil texture classes (USDA system) for 6 standard soil depths (0, 10, 30, 60, 100 and 200 cm) at 250...
Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at ...
Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at ...
Soil pH in H2O in × 10 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Pro...
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolu...
Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Silt content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Distribution of the USDA soil great groups based on machine learning predictions from global compila...
Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Distribution of the USDA orders (12) based on machine learning predictions of great groups (https://...
Distribution of the USDA suborders based on machine learning predictions of great groups (https://do...
Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard ...
Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10,...
Layers include: lithology (15) and landform (7) indicator maps (0-100%). Derived from the USGS Globa...
iSDAsoil dataset soil texture classes derived from sand, silt and clay fractions at 30 m resolution ...
Soil texture classes (USDA system) for 6 standard soil depths (0, 10, 30, 60, 100 and 200 cm) at 250...
Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at ...
Soil bulk density (fine earth) 10 x kg / m3 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at ...
Soil pH in H2O in × 10 at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Pro...
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolu...
Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Silt content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Distribution of the USDA soil great groups based on machine learning predictions from global compila...
Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Distribution of the USDA orders (12) based on machine learning predictions of great groups (https://...
Distribution of the USDA suborders based on machine learning predictions of great groups (https://do...
Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard ...
Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10,...
Layers include: lithology (15) and landform (7) indicator maps (0-100%). Derived from the USGS Globa...
iSDAsoil dataset soil texture classes derived from sand, silt and clay fractions at 30 m resolution ...