iSDAsoil: The first continent-scale soil property map at 30 m resolution provides a soil information revolution for Africa
Matt Miller, Keith Shepherd, Bruce Kisitu, Jamie Collinson
Abstract
Open access, high-resolution soil property maps have been created for Africa at 30 m resolution, using machine learning trained on over 100,000 analysed soil samples. Combined with other field-level information, iSDAsoil enables the possibility of site-specific agronomy advisory for smallholder farmers.
Topics & Concepts
BiologyResolution (logic)Scale (ratio)Property (philosophy)Field (mathematics)High resolutionDigital soil mappingRemote sensingSoil scienceSoil mapAgroforestrySoil waterCartographyEcologyArtificial intelligenceComputer scienceGeographyEnvironmental scienceMathematicsPhilosophyPure mathematicsEpistemologySoil Geostatistics and MappingSmart Agriculture and AIGeochemistry and Geologic Mapping