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An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia

Author

Listed:
  • Dorijan Radočaj

    (Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia)

  • Mladen Jurišić

    (Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia)

  • Irena Rapčan

    (Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia)

  • Fran Domazetović

    (Department of Geography, University of Zadar, Trg kneza Višeslava 9, 23000 Zadar, Croatia)

  • Rina Milošević

    (Department of Geography, University of Zadar, Trg kneza Višeslava 9, 23000 Zadar, Croatia)

  • Ivan Plaščak

    (Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia)

Abstract

While SoilGrids is an important source of soil property data for a wide range of environmental studies worldwide, there is currently an extreme lack of studies evaluating its accuracy against independent ground truth soil sampling data. This study aimed to provide a comprehensive insight into the accuracy of SoilGrids layers for three physical soil properties representing soil texture components (clay, silt, and sand soil contents) using ground truth data in the heterogeneous landscape of Croatia. These ground truth data consisted of 686 soil samples collected within the national project at a 0–30 cm soil depth, representing the most recent official national data available. The main specificity of this study was that SoilGrids was created based on zero soil samples in the study area, according to the ISRIC WoSIS Soil Profile Database, which is very sparse for the wider surroundings of the study area. The accuracy assessment metrics indicated an overall low accuracy of the SoilGrids data compared with the ground truth data in Croatia, with the average coefficient of determination (R 2 ) ranging from 0.039 for silt and sand to 0.267 for clay, while the normalized root-mean-square error (NRMSE) ranged from 0.362 to 2.553. Despite the great value of SoilGrids in a vast range of environmental studies, this study proved that the accuracy of its products is highly dependent on the presence of ground truth data in the study area.

Suggested Citation

  • Dorijan Radočaj & Mladen Jurišić & Irena Rapčan & Fran Domazetović & Rina Milošević & Ivan Plaščak, 2023. "An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia," Land, MDPI, vol. 12(5), pages 1-16, May.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:1034-:d:1142997
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    References listed on IDEAS

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    Cited by:

    1. Michał Stępień & Dariusz Gozdowski & Stanisław Samborski, 2024. "How Accurately Is Topsoil Texture Shown on Agricultural Soil Maps? A Case Study of Eleven Fields Located in Poland," Land, MDPI, vol. 13(11), pages 1-25, November.
    2. Dorijan Radočaj & Mateo Gašparović & Mladen Jurišić, 2024. "Open Remote Sensing Data in Digital Soil Organic Carbon Mapping: A Review," Agriculture, MDPI, vol. 14(7), pages 1-18, June.

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