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Aug 29, 2014 · https://doi.org/10.1371/journal.pone.0105992.g001. In this paper, we present and describe SoilGrids1km — a global 3D soil information system at 1 resolution — as a first response to the need for a new, consistent and coherent, global soil information.
- Tomislav Hengl, Jorge Mendes de Jesus, Robert A. MacMillan, Niels H. Batjes, Gerard B. M. Heuvelink,...
- 2014
SoilGrids is a collection of updatable soil property and class maps of the world produced using state-of-the-art model-based statistical methods: 3D regression with splines for continuous soil properties and multinomial logistic regression for soil classes. Keywords. geographical information systems. soil science. Access Dataset.
- 7 Apr 2014
- ISRIC
Results of regression modeling indicate that the most useful covariates for modeling soils at the global scale are climatic and biomass indices (based on MODIS images), lithology, and taxonomic mapping units derived from conventional soil survey (Harmonized World Soil Database).
Aug 29, 2014 · Results of regression modeling indicate that the most useful covariates for modeling soils at the global scale are climatic and biomass indices (based on MODIS images), lithology, and taxonomic ...
adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A
- Tomislav Hengl, Jorge Mendes de Jesus, Robert A. MacMillan, Niels H. Batjes, Gerard B. M. Heuvelink,...
- 2014
SoilGrids: a system for automated global soil mapping. Hengl, T. (Creator), Mendes de Jesus, J. S. (Creator), Carvalho Ribeiro, E. (Creator), Batjes, N. (Creator ...
Aug 29, 2014 · Results of regression modeling indicate that the most useful covariates for modeling soils at the global scale are climatic and biomass indices (based on MODIS images), lithology, and taxonomic mapping units derived from conventional soil survey (Harmonized World Soil Database).
