Preprints
https://doi.org/10.5194/soil-2020-65
https://doi.org/10.5194/soil-2020-65

  09 Nov 2020

09 Nov 2020

Review status: a revised version of this preprint was accepted for the journal SOIL and is expected to appear here in due course.

SoilGrids 2.0: producing quality-assessed soil information for the globe

Luis M. de Sousa, Laura Poggio, Niels H. Batjes, Gerard B. M. Heuvelink, Bas Kempen, Eloi Riberio, and David Rossiter Luis M. de Sousa et al.
  • ISRIC - World Soil Information - Wageningen (NL)

Abstract. SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 metres 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 environmental covariates describing vegetation, terrain morphology, climate, geology and hydrology. The aim of this work was the production of quality-assessed global maps of soil properties, with cross-validation, hyper-parameters selection and quantification of spatially explicit uncertainty, as implemented in the SoilGrids version 2.0 product incorporating state of the art practices and adapting them for global digital soil mapping with legacy data. The paper presents the evaluation of the global predictions produced for soil organic carbon content, total nitrogen, coarse fragments, pH(water), cation exchange capacity, bulk density and texture fractions at six standard depths (up to 200 cm). The quantitative evaluation showed metrics in line with previous global, continental and large regions studies. The qualitative evaluation showed that coarse scale patterns are well reproduced. The spatial uncertainty at global scale highlighted the need for more soil observations, especially in high latitude regions.

Luis M. de Sousa et al.

 
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Luis M. de Sousa et al.

Data sets

SoilGrids250m 2.0 - Bulk density ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.713396f9-1687-11ea-a7c0-a0481ca9e724

SoilGrids250m 2.0 - Total nitrogen ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.f0797a68-1692-11ea-a7c0-a0481ca9e724

SoilGrids250m 2.0 - Cation exchange capacity at ph7 ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.713396fc-1687-11ea-a7c0-a0481ca9e724

SoilGrids250m 2.0 - Soil organic carbon content ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.713396f6-1687-11ea-a7c0-a0481ca9e724

SoilGrids250m 2.0 - Clay content ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.713396f7-1687-11ea-a7c0-a0481ca9e724

SoilGrids250m 2.0 - Soil pH in H2O ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.713396fd-1687-11ea-a7c0-a0481ca9e724

SoilGrids250m 2.0 - Sand content ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.713396fa-1687-11ea-a7c0-a0481ca9e724

SoilGrids250m 2.0 - Coarse fragments volumetric ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.713396f8-1687-11ea-a7c0-a0481ca9e724

SoilGrids250m 2.0 - Silt content ISRIC- World Soil Information https://doi.org/10.17027/isric-soilgrids.713396fb-1687-11ea-a7c0-a0481ca9e724

Luis M. de Sousa et al.

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Short summary
This paper focus on the production of quality-assessed global maps of soil properties, as implemented in the SoilGrids version 2.0 product incorporating state of the art practices and adapting them for global digital soil mapping with legacy data. The quantitative evaluation showed metrics in line with previous studies. The qualitative evaluation showed that coarse scale patterns are well reproduced. The spatial uncertainty at global scale highlighted the need for more soil observations.