Distribution of the USDA orders (12) based on machine learning predictions of great groups (https://doi.org/10.5281/zenodo.1476844) from global compilation of soil profiles. To learn more about soil orders and great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA. 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 c...
iSDAsoil dataset soil clay content (USDA system) in % predicted at 30 m resolution for 0–20 and 20–5...
The SoilGrids system (www.soilgrids.org) uses machine learning algorithms to predict soil type and b...
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolu...
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...
Distribution of the USDA soil great groups based on machine learning predictions from global compila...
<p>observations used as calibration data for producing SoilGrids1km predictions [<a href="http://www...
Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Soil texture classes (USDA system) for 6 standard soil depths (0, 10, 30, 60, 100 and 200 cm) at 250...
Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Global maps at 1 km spatial resolution of the predicted soil types (0–100% probabilities) at 1 km re...
Silt content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
This paper describes the technical development and accuracy assessment of the most recent and improv...
iSDAsoil dataset soil texture classes derived from sand, silt and clay fractions at 30 m resolution ...
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
iSDAsoil dataset soil clay content (USDA system) in % predicted at 30 m resolution for 0–20 and 20–5...
The SoilGrids system (www.soilgrids.org) uses machine learning algorithms to predict soil type and b...
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolu...
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...
Distribution of the USDA soil great groups based on machine learning predictions from global compila...
<p>observations used as calibration data for producing SoilGrids1km predictions [<a href="http://www...
Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Soil texture classes (USDA system) for 6 standard soil depths (0, 10, 30, 60, 100 and 200 cm) at 250...
Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
Global maps at 1 km spatial resolution of the predicted soil types (0–100% probabilities) at 1 km re...
Silt content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution...
This paper describes the technical development and accuracy assessment of the most recent and improv...
iSDAsoil dataset soil texture classes derived from sand, silt and clay fractions at 30 m resolution ...
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
iSDAsoil dataset soil clay content (USDA system) in % predicted at 30 m resolution for 0–20 and 20–5...
The SoilGrids system (www.soilgrids.org) uses machine learning algorithms to predict soil type and b...
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolu...