Datasets

Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.

1,344
Datasets: 3
Organizations: 9
File formats

Tagdigital soil mapping

91–100 of 119 datasets

FDRE - Ministry of Agriculture (MoA)

Africa SoilGrids - Clay content

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 Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. PLoS ONE 10(6)

TIF8 resources

Updated 6 Oct 2026

FDRE - Ministry of Agriculture (MoA)

SoilGrids250m 2.0 - Soil pH in H2O

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.

FDRE - Ministry of Agriculture (MoA)

Africa SoilGrids - Exchangeable magnesium (Mg2+)

Exchangeable magnesium (Mg2+ measured in 1M NH4OAc buffered at pH 7 with part of the data converted from data measured according to Mehlich 3) in cmolc/kg (fine earth) at 2 depth intervals (0-20 cm and 20-50 cm) predicted using two Africa soil profiles datasets. 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 Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. PLoS ONE 10(6)

Africa

FDRE - Ministry of Agriculture (MoA)

SoilGrids250m 2017-03 - Soil pH x 10 in KCl

Soil pH x 10 in KCl 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.

FDRE - Ministry of Agriculture (MoA)

SoilGrids250m 2017-03 - Derived available soil water capacity (volumetric fraction) until wilting point

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'). Measurement units: v%.

FDRE - Ministry of Agriculture (MoA)

SoilGrids250m 2017-03 - Texture class (USDA system)

Texture class (USDA system) 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')

FDRE - Ministry of Agriculture (MoA)

SoilGrids250m 2.0 - Volumetric Water Content at 33kPa aggregated 5000m

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 al. 2021) for each 5000 m cell.

FDRE - Ministry of Agriculture (MoA)

Africa SoilGrids - Sum of exchangeable bases

Sum of exchangeable bases (Ca2+, Mg2+, K+, Na+ measured in 1M NH4OAc buffered at pH 7 with part of the data converted from data measured according to Mehlich 3) in cmolc/kg (fine earth) at 6 depth intervals predicted using two Africa soil profiles datasets. 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 Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. PLoS ONE 10(6)

Africa

FDRE - Ministry of Agriculture (MoA)

Africa SoilGrids - Root zone moisture content at wilting point aggregated at ERZD

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 resolution

FDRE - Ministry of Agriculture (MoA)

SoilGrids250m 2017-03 - Cummulative probability of organic soil based on the TAXOUSDA and TAXNWRB

Cummulative probability of organic soil based on the TAXOUSDA and TAXNWRB 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.

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91–100 of 119 datasets

FDRE - Ministry of Agriculture (MoA)

Africa SoilGrids - Clay content

TIF8 resources

Updated 6 Oct 2026

FDRE - Ministry of Agriculture (MoA)

SoilGrids250m 2.0 - Soil pH in H2O

FDRE - Ministry of Agriculture (MoA)

Africa SoilGrids - Exchangeable magnesium (Mg2+)

Africa

FDRE - Ministry of Agriculture (MoA)

Africa

FDRE - Ministry of Agriculture (MoA)

Africa SoilGrids - Root zone moisture content at wilting point aggregated at ERZD

FDRE - Ministry of Agriculture (MoA)

SoilGrids250m 2017-03 - Cummulative probability of organic soil based on the TAXOUSDA and TAXNWRB

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