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Organizations: FDRE - Ministry of Agriculture (MoA) Formats: WMS

89 datasets found

  • SoilGrids250m 2.0 - Sand content 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. To visualize these layers please use www.soilgrids.org.
    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 rootable depth and the top 30 cm, mapped at 1km resolution
    Created October 25, 2023 • Updated October 25, 2023

  • Africa SoilGrids nutrients - Extractable Phosphorus (P) N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Extractable Phosphorus (P) 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...
    Created October 25, 2023 • Updated October 25, 2023

  • SoilGrids250m 2.0 - Soil organic carbon stock N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Soil organic carbon stock in t/ha for 0-30 cm depth interval. 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

  • Africa SoilGrids - Root zone moisture content at saturation aggregated at ERZD 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 the Effective Root Zone Depth for Maize
    Created October 25, 2023 • Updated October 25, 2023

  • Africa SoilGrids nutrients - Extractable Manganese (Mn) N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Extractable Manganese (Mn) 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

  • SoilGrids250m 2.0 - Cation exchange capacity at ph7 N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Cation exchange capacity (buffered at pH 7) of fine earth fraction in cmolc/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. To visualize these layers please use www.soilgrids.org.
    Created October 25, 2023 • Updated October 25, 2023

  • SoilGrids250m 2.0 - Soil organic carbon content N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Soil organic carbon content (fine earth fraction) in dg/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. To visualize these layers please use www.soilgrids.org.
    Created October 25, 2023 • Updated October 25, 2023

  • NSIS Soil data N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Ethiopian Soil data
    Created August 25, 2023 • Updated August 29, 2023
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