SoilGrids250m: Global gridded soil information based on machine learning

This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June 2016 update). SoilGrids provides global predictions for standard numeric soil properties (organic carbon, bulk density, Cation Exchange Capa...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Hengl, Tomislav, Mendes de Jesus, Jorge, Heuvelink, Gerard B. M., Ruiperez Gonzalez, Maria, Kilibarda, Milan, Blagotić, Aleksandar, Shangguan, Wei, Wright, Marvin N., Geng, Xiaoyuan, Bauer-Marschallinger, Bernhard, Guevara, Mario Antonio, Vargas, Rodrigo, MacMillan, Robert A., Batjes, Niels H., Leenaars, Johan G. B., Ribeiro, Eloi, Wheeler, Ichsani, Mantel, Stephan, Kempen, Bas
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2017
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5313206/
https://ncbi.nlm.nih.gov/pubmed/28207752
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0169748
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