SoilGrids250m: Global gridded soil information based on machine learning

Hengl, T.; Mendes de Jesus, Jorge; Heuvelink, G.; Ruiperez González, Maria; Kilibarda, M.; Blagotić, Aleksandar; Wei, Shangguan; N. Wright, Marvin; Geng, X.; Bauer-Marschallinger, B.; Guevara, M.; Vargas, R.; MacMillan, R.; Batjes, N.; Leenaars, J.; Ribeiro, E.; Wheeler, Ichsani; Mantel, S.; Kempen, B.

doi:10.1371/journal.pone.0169748

Public

SoilGrids250m: Global gridded soil information based on machine learning

Shared by NobleBlocks on Feb 16, 2017 • 12:00 AM UTC

Authors:

T. Hengl

Jorge Mendes de Jesus

G. Heuvelink

Abstract

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...

Subject

Medicine

Environmental Science

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