A new high resolution object-oriented approach to define the spatiotemporal dynamics of the cover-management factor in soil erosion modelling

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A91509" target="_blank" >RIV/60460709:41330/23:91509 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/abs/pii/S0341816222001357" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0341816222001357</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.catena.2022.106149" target="_blank" >10.1016/j.catena.2022.106149</a>

Result language

angličtina

Original language name

A new high resolution object-oriented approach to define the spatiotemporal dynamics of the cover-management factor in soil erosion modelling

Original language description

The cover management factor calculation requires the assessment of the infra annual spatial and temporal variability of biomass cover, owed to the natural growth cycle of vegetation and the impact of agriculture on land cover. However, this is frequently omitted, and the vegetation conditions are approximated by assigning constant values to static classified Land Use Land Cover maps, such as the Coordination of Information on the Environment Land Cover. Using as test site the Sperchios River catchment, Central Greece, this study introduces a new approach to estimate C factor in a spatial and temporally exhaustive manner. The goal is to increase estimation accuracy in erosion modelling applications. The C factor computations are performed on monthly scale, based on Land use Land Cover maps that portray the basin s agricultural areas in unprecedented detail. The methodology involves the use of a biophysical index, namely Fraction of Vegetation Cover (F cover) and empirical literature data on crop types. F cover was developed from Sentinel 2 (S2) imagery in 10 m analysis. Such analysis (compared to the 300 m one provided by the EU) is a major improvement towards a more precise estimation of C factor. The study identified the monthly C factor fluctuation at basin scale, and the most susceptible months seasons at localities in terms of land cover, soil loss potential. The higher C factor values were acquired in October and the lower in May. Mean annual (numerical) C factor complies with the value of July. All monthly values are significantly higher, almost double, than the mean annual stationary one. The revealed patterns would not have been detected in a lower temporal (e.g., annual) resolution without the incorporation of vegetation density seasonality. The study shows high reproducibility and upscale potential, as the utilized datasets are available in all European Union (EU) Member States, having similar structure, thus they can be harmonized towards a unified continental approach.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

40104 - Soil science

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

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

Name of the periodical

Catena

ISSN

0341-8162

e-ISSN

0341-8162

Volume of the periodical

213

Issue of the periodical within the volume

106149

Country of publishing house

DE - GERMANY

Number of pages

19

Pages from-to

1-19

UT code for WoS article

000913083600001

EID of the result in the Scopus database

2-s2.0-85125266043