Datasets
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SoilGrids250m 2017-03 - Silt content (2-50 micro meter) mass fraction N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Silt content (2-50 micro meter) mass fraction in % at 7 standard depths 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: w%.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - WRB classes and probabilites N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)WRB 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...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Soil organic carbon density N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Soil organic carbon density in g/dm³ at 6 standard depths. 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. To visualize these layers please use www.soilgrids.org.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Coarse fragments volumetric N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Coarse fragments volumetric in ‱ at 6 standard depths. 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. To visualize these layers please use www.soilgrids.org.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Cation exchange capacity (CEC) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Cation exchange capacity of soil in cmolc/kg at 7 standard depths 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: cmolc / kg.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Soil pH in H2O N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Soil pH x 10 in H2O at 7 standard depths (to convert to pH values divide by 10) 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: NA.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Predicted probability USDA 2014 suborder classes N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)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.Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids nutrients - Extractable Sodium (Na) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable Sodium content (Na) of the soil fine earth fraction in mg/kg (ppm) as measured according to the soil analytical procedure of Mehlich 3 and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data from the...Created October 25, 2023 • Updated October 25, 2023 -
SOTER-based soil parameter estimates (SOTWIS) for Jordan N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized set of soil parameter estimates has been developed using an updated 1:500 000 scale Soil and Terrain (SOTER) Database for Jordan. The associated soil analytical data were derived from soil survey reports. These sources seldom hold all the physical and chemical attributes ideally required by SOTER. Gaps in the measured soil profile data...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Texture N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Textural class (defined according to USDA system) at 6 depth intervals derived from sand, silt and clay contents predicted using the Africa Soil Profiles Database (AfSP) v1.2. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de Jesus, L.T....Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Depth to bedrock (R horizon) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Depth to bedrock (R horizon) up to 200 cm 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: cm.Created October 25, 2023 • Updated October 25, 2023 -
Baselines for land degradation neutrality indicators in the Omusati region, N... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This data was collected to develop baselines for three Land Degradation Neutrality (LDN) indicators: land use and land cover change (LUC) for the period 2001-2017, soil organic carbon (SOC) stocks for 2017 and bush density for 2017 as a baseline for bush encroachment in Omusati region, Namibia.Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids nutrients - Extractable Aluminium (Al) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable Aluminium (Al) content of the soil fine earth fraction in mg/kg (ppm) as measured according to the soil analytical procedure of Mehlich 3 and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data from the...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Drainage classes N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Drainage classes, defined according to the Guidelines for Soil Description (FAO, 2006) predicted using the Africa Soil Profiles Database (AfSP) v1.2. LEGEND = 1:Very poor, 2:Poor, 3:Imperfect, 4:Moderate, 5:Well, 6:Somewhat excessive, 7:Excessive, 255:NODATA. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B....Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Extractable aluminium (Al) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable aluminium content (Al measured by Mehlich 3) in mg/kg (fine earth) at 2 depth intervals (0-20 cm and 20-50 cm) predicted using two sets of Africa soil profiles data. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de Jesus, L.T....Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Sand content N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Sand content (50-2000 micro meter) in g/100g (w%) at 6 standard depths predicted using two sets of Africa soil profiles data. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de Jesus, L.T. Desta, J.E. Tondoh, 2015. Mapping Soil Properties of...Created October 25, 2023 • Updated October 25, 2023 -
SOTER-based soil parameter estimates (SOTWIS) for Central and Eastern Europe,... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized set of soil parameter estimates for Central and Eastern Europe has been derived from a revised version of the 1:2.5M Soil and Terrain (SOTER) Database for Central and Eastern Europe (SOVEUR ver. 1.1) and the ISRIC-WISE soil profile database. The land surface of Central and Eastern Europe, West of the Ural Mountains, has been characterized...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Soil organic carbon (SOC) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Soil organic carbon content (measured by either wet oxidation or dry combustion at 900 C) in g/kg (fine earth) at 6 standard depths predicted using two sets of Africa soil profiles data. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids nutrients - Extractable Iron (Fe) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable Iron (Fe) content of the soil fine earth fraction in mg/kg (ppm) as measured according to the soil analytical procedure of Mehlich 3 and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data from the...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Root zone moisture content at wilting point aggregated at ... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric moisture content (v%) of the soil fine earth fraction at permanent wilting point (at h=15,000 cm or pF 4.2), aggregated over the Effective Root Zone Depth for Maize, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023