SoilGrids250m 2.0 - WRB classes and probabilites

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. Legend: 1: "Haplic Acrisols", 2: "Haplic Acrisols (Alumic)", 3: "Haplic Acrisols (Ferric)", 4: "Haplic Acrisols (Humic)", 5: "Plinthic Acrisols", 6: "Vetic Acrisols", 7: "Haplic Albeluvisols", 8: "Histic Albeluvisols", 9: "Umbric Albeluvisols", 10: "Cutanic Alisols", 11: "Haplic Alisols", 12: "Aluandic Andosols", 13: "Haplic Andosols", 14: "Vitric Andosols", 15: "Albic Arenosols", 16: "Ferralic Arenosols", 17: "Haplic Arenosols", 18: "Haplic Arenosols (Calcaric)", 19: "Hypoluvic Arenosols", 20: "Protic Arenosols", 21: "Haplic Calcisols", 22: "Haplic Calcisols (Sodic)", 23: "Luvic Calcisols", 24: "Petric Calcisols", 25: "Endogleyic Cambisols", 26: "Ferralic Cambisols", 27: "Haplic Cambisols", 28: "Haplic Cambisols (Calcaric)", 29: "Haplic Cambisols (Chromic)", 30: "Haplic Cambisols (Dystric)", 31: "Haplic Cambisols (Eutric)", 32: "Haplic Cambisols (Humic)", 33: "Haplic Cambisols (Sodic)", 34: "Leptic Cambisols", 35: "Vertic Cambisols", 36: "Calcic Chernozems", 37: "Haplic Chernozems", 38: "Luvic Chernozems", 39: "Haplic Cryosols", 40: "Turbic Cryosols", 41: "Vitric Cryosols", 42: "Petric Durisols", 43: "Acric Ferralsols", 44: "Haplic Ferralsols", 45: "Haplic Ferralsols (Rhodic)", 46: "Haplic Ferralsols (Xanthic)", 47: "Umbric Ferralsols", 48: "Haplic Fluvisols", 49: "Haplic Fluvisols (Arenic)", 50: "Haplic Fluvisols (Calcaric)", 51: "Haplic Fluvisols (Dystric)", 52: "Haplic Fluvisols (Eutric)", 53: "Calcic Gleysols", 54: "Haplic Gleysols", 55: "Haplic Gleysols (Dystric)", 56: "Haplic Gleysols (Eutric)", 57: "Mollic Gleysols", 58: "Umbric Gleysols", 59: "Calcic Gypsisols", 60: "Haplic Gypsisols", 61: "Calcic Histosols", 62: "Cryic Histosols", 63: "Fibric Histosols", 64: "Hemic Histosols", 65: "Sapric Histosols", 66: "Calcic Kastanozems", 67: "Haplic Kastanozems", 68: "Haplic Leptosols", 69: "Haplic Leptosols (Eutric)", 70: "Lithic Leptosols", 71: "Mollic Leptosols", 72: "Rendzic Leptosols", 73: "Haplic Lixisols", 74: "Haplic Lixisols (Chromic)", 75: "Haplic Lixisols (Ferric)", 76: "Albic Luvisols", 77: "Calcic Luvisols", 78: "Gleyic Luvisols", 79: "Haplic Luvisols", 80: "Haplic Luvisols (Chromic)", 81: "Haplic Luvisols (Ferric)", 82: "Leptic Luvisols", 83: "Stagnic Luvisols", 84: "Vertic Luvisols", 85: "Alic Nitisols", 86: "Haplic Nitisols (Rhodic)", 87: "Haplic Phaeozems", 88: "Leptic Phaeozems", 89: "Luvic Phaeozems", 90: "Endogleyic Planosols", 91: "Haplic Planosols (Dystric)", 92: "Haplic Planosols (Eutric)", 93: "Luvic Planosols", 94: "Solodic Planosols", 95: "Acric Plinthosols", 96: "Lixic Plinthosols", 97: "Gleyic Podzols", 98: "Haplic Podzols", 99: "Aric Regosols", 100: "Calcaric Regosols", 101: "Haplic Regosols (Dystric)", 102: "Haplic Regosols (Eutric)", 103: "Haplic Regosols (Sodic)", 104: "Leptic Regosols", 105: "Gypsic Solonchaks", 106: "Haplic Solonchaks", 107: "Haplic Solonchaks (Sodic)", 108: "Calcic Solonetz", 109: "Gleyic Solonetz", 110: "Haplic Solonetz", 111: "Mollic Solonetz", 112: "Luvic Stagnosols", 113: "Haplic Umbrisols", 114: "Leptic Umbrisols", 115: "Calcic Vertisols", 116: "Haplic Vertisols", 117: "Haplic Vertisols (Eutric)", 118: "Mollic 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.

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.

Soil pH x 10 in H2O at 6 standard depths (to convert to pH values divide by 10). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.

Soil pH x 10 in H2O at 6 standard depths (to convert to pH values divide by 10). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.