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soil • agriculture • satellite • soil properties • carbon
iSDAsoil is a high-resolution (30m) soil dataset for Africa, providing machine learning–based predictions of over 20 soil properties at two depths (0–20 cm and 20–50 cm), derived from satellite data and 100,000+ soil samples.
iSDAsoil is a soil resource created by
iSDA, containing soil property predictions at 30m resolution
for the entire African continent.
Maps for over 20 different soil properties have been created at 2 different depths (0-20 and 20-50cm). Soil property
predictions were made using machine learning coupled with remote sensing data and a training set of over 100,000
analyzed soil samples. Included in this dataset are images of predicted soil properties, model error and satellite
covariates used in the mapping process.
To explore the iSDAsoil data, it is recommended to visit the
iSDAsoil homepage.
Further information can be found in the
FAQ section, and
technical information
documentation.
Spatial Resolution
30m x 30m