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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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F25%3A43926861" target="_blank" >RIV/62156489:43210/25:43926861 - isvavai.cz</a>

  • Alternative codes found

    RIV/44555601:13520/25:43899119

  • Result on the web

    <a href="https://doi.org/10.1007/s12665-025-12298-x" target="_blank" >https://doi.org/10.1007/s12665-025-12298-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s12665-025-12298-x" target="_blank" >10.1007/s12665-025-12298-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40104 - Soil science

Result continuities

  • Project

    <a href="/en/project/QK21020069" target="_blank" >QK21020069: Correction of soil erodibility values according to terrain morphology within erosion closed units for the needs of more precise identification of erosion endangered areas</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Environmental Earth Sciences

  • ISSN

    1866-6280

  • e-ISSN

    1866-6299

  • Volume of the periodical

    84

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

    284

  • UT code for WoS article

    001489589900003

  • EID of the result in the Scopus database

    2-s2.0-105005414500