Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4735-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-4735-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Oct 2024
Data description paper |
| 22 Oct 2024
| 22 Oct 2024
Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023)
ISRIC – World Soil Information, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Luis Calisto
ISRIC – World Soil Information, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Luis M. de Sousa
ISRIC – World Soil Information, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
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Short summary
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This paper focuses on the production of global maps of soil properties with quantified spatial uncertainty, as implemented in the SoilGrids version 2.0 product using DSM 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.
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Short summary
Soils are an important provider of ecosystem services. This dataset provides quality-assessed and standardised soil data to support digital soil mapping and environmental applications at a broad scale. The underpinning soil profiles were shared by a wide range of data providers. Special attention was paid to the standardisation of soil property definitions, analytical method descriptions and property values. We present three measures to assess "fitness for intended use" of the standardised data.
Soils are an important provider of ecosystem services. This dataset provides quality-assessed...
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