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<p>With the current advancements in GIS and remote sensing methods, especially the use of high-precision LiDAR data, there is a significant disparity in the accuracy of morphological and soil data in erosion assessment. In current practice, a soil geospatial database is used to determine erodibility (K factor), often causing step changes in value within a field. However, soil properties influencing the K factor typically vary smoothly with terrain morphology and the soil catena pattern. Terrain morphology should therefore be taken into account, and it will lead to a more precise spatial distribution of K-factor values, significantly refining soil loss calculations and erosion control planning. For this purpose, the Czech Soil-Morphological Geospatial Database containing 1,417 soil samples was created. All soil samples were analyzed in the laboratory, and their K values were linked to morphometric characteristics (MMCH) based on geographical coordinates. The correlation dependences of the MMCH and spatial changes of K values, as deviations from the average values for the drainage areas within the closed erosion units, were calculated. The results of the methodology validation show a statistically high significant dependence between the K values obtained from field measurements and the values generated by the K-terrain model, created to automate the calculation. The tool can be used for down-scaling of K factor maps of large areas according to digital terrain model. To allow it to be applied more effectively to land management, a map with K terrain values for the entire Czech Republic was created with a resolution of 10&#xa0;m.</p>

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Down-scaling method for transformation of national soil maps into spatially distributed values of soil erodibility factor according to terrain morphology using GIS tools

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月17日

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  • Jiří Brychta,
  • Jan Vopravil,
  • Martina Brychtová,
  • Jana Kozlovsky Dufková,
  • Jana Podhrázská,
  • Milada Šťastná,
  • Jan Pacina,
  • Jan Popelka,
  • Tadeáš Děd,
  • Petr Zálešák,
  • Martina Urbanová,
  • Alžběta Maxianová,
  • David Kincl,
  • Tomáš Khel

摘要

With the current advancements in GIS and remote sensing methods, especially the use of high-precision LiDAR data, there is a significant disparity in the accuracy of morphological and soil data in erosion assessment. In current practice, a soil geospatial database is used to determine erodibility (K factor), often causing step changes in value within a field. However, soil properties influencing the K factor typically vary smoothly with terrain morphology and the soil catena pattern. Terrain morphology should therefore be taken into account, and it will lead to a more precise spatial distribution of K-factor values, significantly refining soil loss calculations and erosion control planning. For this purpose, the Czech Soil-Morphological Geospatial Database containing 1,417 soil samples was created. All soil samples were analyzed in the laboratory, and their K values were linked to morphometric characteristics (MMCH) based on geographical coordinates. The correlation dependences of the MMCH and spatial changes of K values, as deviations from the average values for the drainage areas within the closed erosion units, were calculated. The results of the methodology validation show a statistically high significant dependence between the K values obtained from field measurements and the values generated by the K-terrain model, created to automate the calculation. The tool can be used for down-scaling of K factor maps of large areas according to digital terrain model. To allow it to be applied more effectively to land management, a map with K terrain values for the entire Czech Republic was created with a resolution of 10 m.