SoilGrids1km — Global Soil Information Based on Automated Mapping

• Published in: PloS one Vol. 9; no. 8; p. e105992
• Main Authors: Hengl, Tomislav, de Jesus, Jorge Mendes, MacMillan, Robert A., Batjes, Niels H., Heuvelink, Gerard B. M., Ribeiro, Eloi, Samuel-Rosa, Alessandro, Kempen, Bas, Leenaars, Johan G. B., Walsh, Markus G., Gonzalez, Maria Ruiperez
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 29.08.2014; Public Library of Science (PLoS)
• Subjects: Accuracy; Algorithms; Bedrock; Bulk density; Carbon; Carbon - analysis; Carbon Sequestration; Carbon sinks; Cation exchanging; Cation-exchange capacity; Cations - analysis; climate; Climatic indexes; Clustering; Collaboration; Computer and Information Sciences; Conservation of Natural Resources - methods; Conservation of Natural Resources - statistics & numerical data; Data analysis; Downloading; Earth Sciences; Ecology and Environmental Sciences; Ecosystem; Environment; Forming; Geographic Information Systems - statistics & numerical data; Geography; global land areas; Hydrogen-Ion Concentration; Information systems; interpolation; Lithology; Logistic Models; Mapping; Models, Theoretical; Natural resources; Nonrenewable resources; Organic carbon; Organic soils; Prediction models; Renewable resources; resolution; Sandy soils; Silt; Soil - chemistry; Soil mapping; Soil pH; Soil profiles; Soil properties; Soil sciences; Soil surveys; Spatial data; Taxonomy; Usability; world; Brazil; New York; Rio de Janeiro Brazil; Netherlands; United States > US; Germany

Soils are widely recognized as a non-renewable natural resource and as biophysical carbon sinks. As such, there is a growing requirement for global soil information. Although several global soil information systems already exist, these tend to suffer from inconsistencies and limited spatial detail....