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219 datasets found
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Africa SoilGrids - Root zone plant available water holding capacity aggregate... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Plant available water holding capacity (v%) of the soil fine earth fraction, with field capacity defined at h=200 cm or pF 2.3, aggregated over the Effective Root Zone Depth for Maize, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
Soil and Terrain Database (SOTER) for Malawi N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrain database for Malawi (version 1.0), at scale 1:1 million, was compiled based on the soil map of Malawi at scale 1:250,000 (compiled by the Land Resources Evaluation Project) that was complemented with soil boundary information from the provisional soil map at scale 1:1 million. The 90m SRTM-DEM was used to define the various landform...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Root zone depth (cm) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Rootable depth (cm) for maizeCreated October 25, 2023 • Updated October 25, 2023 -
SOTER-based soil parameter estimates (SOTWIS) for Tunisia N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized set of soil parameter estimates for Tunisia. It has been derived from the 1:1 million scale Soil and Terrain Database for the country (SOTER_TN, ver. 1.0) and the ISRIC-WISE soil profile database, using standardized taxonomy-based pedotransfer (taxotransfer) procedures. The land surface of Tunisia, covering some 164,150 km2, has been...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Root zone coarse fragments content aggregated at ERZD N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric coarse fragments content (v%) of the soil whole earth, aggregated over the Effective Root Zone Depth for Maize, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
Topsoil organic carbon concentrations and stocks for Tanzania N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This soil organic carbon dataset contains the following maps: soil organic carbon concentration (%) for the 0-10 cm, 10-20 cm, 20-30 cm and 0-30 cm soil layers, and bulk density (kg/m3) and soil organic carbon stock (kg/m2) for the 0-30 cm layer. These maps were produced with (geostatistical) regression-kriging models that combined soil data from the...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids nutrients - Extractable Magnesium (Mg) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable Magnesium (Mg) 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 plant available water holding capacity aggregate... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Plant available water holding capacity (v%) of the soil fine earth fraction, with field capacity defined at h=200 cm or pF 2.3, aggregated over rootable depth and the top 30 cm, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Clay content N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Clay content (0-2 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 -
SoilGrids250m 2.0 - Sand content aggregated 1000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Sand content (50/63-2000 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 2.0 - Soil pH in H2O N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)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. To visualize these layers please use www.soilgrids.org.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Bulk density aggregated 1000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Bulk density (fine earth) in cg/cm³ 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 1000 m cell.Created October 25, 2023 • Updated October 25, 2023 -
Africa Soil Profiles Database, version 1.2 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Africa Soil Profiles Database, Version 1.2, is compiled by ISRIC - World Soil Information (World Data Center for Soils) as a project activity for the Globally integrated- Africa Soil Information Service (AfSIS) project (www.africasoils.net/data/legacyprofile). It replaces version 1.1. The Africa Soil Profiles Database is a compilation of...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Bulk density N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Bulk density (fine earth) in cg/cm³ 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 -
Repositório Brasileiro Livre para Dados Abertos do Solo N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Free Brazilian Repository for Open Soil Data – febr, www.ufsm.br/febr – is a centralized repository targeted at storing open soil data and serving it in a standardized and harmonized format. The repository infrastructure was built using open source and/or free (of cost) software, and was primarily designed for the individual management of datasets. A...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 -
Soil and Terrain Database (SOTER) for Cuba N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrain database for Cuba primary data (version 1.0), at scale 1:1 million (SOTER_Cuba), was compiled of enhanced soil informtion within the framework of the FAO's program Land Degradation Assessment in Drylands (LADA). Primary soil and terrain data for Cuba were obtained from the SOTERLAC database (ver. 2) at scale 1:5 million. This update...Created October 25, 2023 • Updated October 25, 2023 -
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
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