SoilGrids250m 2017-03 - Predicted probability WRB 2006 subgroup classes
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✦ Suggested by OrionAIWRB classes and probabilites. Predictions were derived using a digital soil mapping approach based on Random Forest, drawing on a global compilation of soil profile data and environmental layers. To visualize these layers please use www.soilgrids.org. Legend: 0 = Acrisols 1 = Albeluvisols 2 = Alisols 3 = Andosols 4 = Arenosols 5 = Calcisols 6 = Cambisols 7 = Chernozems 8 = Cryosols 9 = Durisols 10 = Ferralsols 11 = Fluvisols 12 = Gleysols 13 = Gypsisols 14 = Histosols 15 = Kastanozems 16 = Leptosols 17 = Lixisols 18 = Luvisols 19 = Nitisols 20 = Phaeozems 21 = Planosols 22 = Plinthosols 23 = Podzols 24 = Regosols 25 = Solonchaks 26 = Solonetz 27 = Stagnosols 28 = Umbrisols 29 = Vertisols
Predicted WRB 2006 subgroup classes (as integers) predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE')
Predicted probability in percent per class predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: probability.
Grade of a sub-soil being acid e.g. having a pH greater than 5 and low BS predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: grade.
Predicted USDA 2014 suborder classes (as integers) predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE')
Probability of occurrence of R horizon predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: probability.
Indexed by OrionGIS from ISRIC Soil Data Hub. Data is loaded from the publisher's own server when you use it. Permanent link