SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
<p>SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models. It takes as inputs soil observations from about 240 000 locations worldwide and over 400 global en...
Main Authors: | L. Poggio, L. M. de Sousa, N. H. Batjes, G. B. M. Heuvelink, B. Kempen, E. Ribeiro, D. Rossiter |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-06-01
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Series: | SOIL |
Online Access: | https://soil.copernicus.org/articles/7/217/2021/soil-7-217-2021.pdf |
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