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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5313206/
https://www.ncbi.nlm.nih.gov/pubmed/28207752
http://dx.doi.org/10.1371/journal.pone.0169748

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