Search datasets
119 datasets found
-
SoilGrids250m 2.0 - Volumetric Water Content at 10kPa aggregated 5000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric Water Content at 10kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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 (Turek et...Created October 25, 2023 • Updated April 17, 2024 -
Africa SoilGrids nutrients - Nutrient clusters based on fuzzy k-means N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Nutrient clusters based on fuzzy k-means of the soil fine earth fraction and spatially predicted at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data from the Africa Soil Profiles database (AfSP) compiled by AfSIS and recent soil data newly collected by AfSIS in...Created October 25, 2023 • Updated April 17, 2024 -
SoilGrids250m 2.0 - Volumetric Water Content at 33kPa N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric Water Content at 33kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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.Created April 17, 2024 • Updated April 17, 2024 -
SoilGrids250m 2.0 - Volumetric Water Content at 10kPa N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric Water Content at 10kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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.Created April 17, 2024 • Updated April 17, 2024 -
SoilGrids250m 2.0 - Volumetric Water Content at 33kPa aggregated 5000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric Water Content at 33kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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 (Turek et...Created April 17, 2024 • Updated April 17, 2024 -
SoilGrids250m 2.0 - Volumetric Water Content at 1500kPa N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric Water Content at 1500kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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.Created October 25, 2023 • Updated November 25, 2023 -
SoilGrids250m 2.0 - Volumetric Water Content at 1500kPa aggregated 1000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric Water Content at 1500kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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 (Turek...Created October 25, 2023 • Updated November 25, 2023 -
SoilGrids250m 2.0 - Volumetric Water Content at 1500kPa aggregated 5000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric Water Content at 1500kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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 (Turek...Created October 25, 2023 • Updated November 25, 2023 -
SoilGrids250m 2.0 - Volumetric Water Content at 10kPa aggregated 1000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric Water Content at 10 kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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 (Turek...Created October 25, 2023 • Updated November 25, 2023 -
SoilGrids250m 2.0 - Silt content aggregated 1000m 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 -
Africa SoilGrids nutrients - Extractable Zinc (Zn) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable Zinc (Zn) 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 -
Africa SoilGrids - Root zone total plant available water holding capacity agg... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Total plant-available water holding capacity (mm) of the soil whole earth fraction (including coarse fragments), summed over the Effective Root Zone Depth for Maize, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Probability of occurrence of R horizon N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)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.Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Textural class aggregated at top 30 cm N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Textural class (USDA) of the soil fine earth fraction, aggregated over rootable depth and the top 30 cm, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Sand content (50-2000 micro meter) mass fraction N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Sand content (50-2000 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 - Total nitrogen aggregated 5000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Total nitrogen in cg/kg 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 cell.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Bulk density (fine earth) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Bulk density (fine earth) in kg / cubic-meter 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: kg / m3.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 rootable depth and the top 30 cm, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Sand content aggregated 5000m 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 -
Africa SoilGrids nutrients - Extractable Calcium (Ca) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable Calcium (Ca) 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
Can't find it?
Request a Dataset