Datasets
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SoilGrids250m 2.0 - Silt content aggregated 5000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Silt content (2-50/63 micro meter) mass fraction 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. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Derived available soil water capacity (volumetric fra... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Derived available soil water capacity (volumetric fraction) until wilting point 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')....Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Derived available soil water capacity (volumetric fra... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Derived available soil water capacity (volumetric fraction) with FC = pF 2.3 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...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids nutrients - Extractable Boron (B) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable Boron (B) content of the soil fine earth fraction in mg/100kg (pp100m) 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...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Sodic soil grade based on WRB soil types and soil pH N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Sodic soil grade based on WRB soil types and soil pH 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.Created October 25, 2023 • Updated October 25, 2023 -
Soil and Terrain Database for Kenya (KENSOTER), version 2.0 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrain database for Kenya (KENSOTER), version 2.0, at scale 1:1 million, replaces version 1.0 . The update include changes in the GIS file and in the attribute database. The topographic base of KENSOTER was adapted to a version congruent to the Digital Chart of the World. The KENSOTER attribute database has changed with respect to the number...Created October 25, 2023 • Updated October 25, 2023 -
A homogenized soil data file for global environmental research: A subset of F... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)A homogenized, global set of 1,125 soil profiles is presented. These profiles have been extracted from the database developed at ISRIC for a project on "World Inventory of Soil Emission Potentials" (WISE), as a contribution to the activities of the Global Soils Data Task Group of IGBP-DIS. The subset consists of a selection of 665 profiles originating...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Clay content aggregated 5000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Clay content (0-2 micro meter) mass fraction 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. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m...Created October 25, 2023 • Updated October 25, 2023 -
SOTER-based soil parameter estimates (SOTWIS) for the Indo-Gangetic Plains of... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized set of soil parameter estimates for the Indo-Gangetic Plains (IGP) of India, at scale 1:1 000 000, has been derived from soil and terrain data collated in SOTER format by staff of the National Bureau of Soil Survey and Land Use Planning (NBSS and LUP) at Nagpur, India. The data set has been prepared for use in the project on "Assessment of...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Total nitrogen (N) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Total nitrogen (N) content in g/kg of the fine earth fraction in 2 depth intervals (0-20 cm and 20-50 cm) measured according to the analytical procedures of wet oxidation and 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,...Created October 25, 2023 • Updated October 25, 2023 -
Harmonized World Soil Database (HWSD) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Soil information, from the global to the local scale, has often been the one missing biophysical information layer, the absence of which has added to the uncertainties of predicting potentials and constraints for food and fiber production. The lack of reliable and harmonized soil data has considerably hampered land degradation assessments, environmental...Created October 25, 2023 • Updated October 25, 2023 -
Soil and Terrain Database for Central and Eastern Europe (SOVEUR), version 1.1 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrain Database (SOTER) was part of the Soil Degradation and Vulnerability Assessment for Central and Eastern Europe (SOVEUR project) and was implemented within the framework of the Food and Agriculture Organization (FAO) of the United Nations and the Netherlands Government Cooperative Programme. The project was technically coordinated by...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Root zone moisture content at saturation aggregated at top... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric moisture content (v%) of the soil fine earth fraction at saturation (at h=1 cm or pF 0), aggregated over rootable depth and the top 30 cm, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
SOTER-based soil parameter estimates (SOTWIS) for Brazil N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized set of soil parameter estimates for Brazil. The 1:5M scale Soil and Terrain Database for Latin America and the Caribbean (FAO et al. 1998), provided the basis for the current study. The data set has been prepared for the project on Assessment of soil organic carbon stocks and change at national scale (GEF-SOC), which has the Brazilian...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Grade of a sub-soil being acid e.g. having a pH lower... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)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.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Predicted WRB 2006 subgroup classes N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)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')Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Silt content N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Silt content (2-50/63 micro meter) mass fraction 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 -
INFOSOLO - Soil Profile Data for Portugal N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The INFOSOLO legacy database is the first effort to develop a soil information system in Portugal, suitable to compile soil data produced in the country, and to support stakeholders and land managers in decision-making. The current version includes soil data from a set of 9934 horizons/layers studied in 3461 soil profiles across the country between 1966...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Coarse fragments N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric coarse fragments content (estimated in the field) in v% (m3/100m3) at 6 standard depths 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. Desta, J.E....Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Absolute depth to bedrock N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Absolute depth to bedrock (in 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