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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/44555601:13520/25:43899119

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

<a href="/cs/project/QK21020069" target="_blank" >QK21020069: Korekce hodnot erodovatelnosti půdy dle morfologie terénu v rámci erozně uzavřených celků pro potřeby zpřesnění identifikace erozně ohrožených ploch</a><br>

Návaznosti

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

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Environmental Earth Sciences

ISSN

1866-6280

e-ISSN

1866-6299

Svazek periodika

84

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

284

Kód UT WoS článku

001489589900003

EID výsledku v databázi Scopus

2-s2.0-105005414500