Quality Analysis of the Global Digital Relief Model GMTED2010 for Evaluation of the Erosion Potential (on the Example of the South of the European Territory of Russia)
https://doi.org/10.31857/S0869607122050068
Abstract
The article presents a quantitative analysis of differences in the calculation of the LS-factor arising from the use of various options for the global digital elevation model GMTED2010: “Mean”; “Breakline emphasys”; “Median”. The global digital elevation model SRTM (C-SIR radar) was used as a reference for comparative analysis. In addition, an assessment of differences between values of LS-factor obtained by various methods was made. In this case, 4 methods for calculating the LS-factor were used, proposed in the: USLE method; RUSLE method; methodology proposed by the Research Laboratory of Soil Erosion and Channel Processes of Moscow State University, methodology published by Moore I.D. and Nieber J.L. in 1989. The analysis was carried out within 4 test areas reflecting the main types of relief in the south of the European territory of Russia. It has been established that the closest results in the calculation of the LS-factor to the SRTM C-SIR model are given by the variant of the model GMTED2010 “MEAN”. The errors arising between the SRTM C-SIR and GMTED2010 “MEAN” models within moderately dissected plains are 7–54%, where most of the arable land is located. At the same time, errors within mountainous areas or stratal-accumulative plains and lowlands are 68–322%. An analysis of the use of various formulas for calculating the LS-factor shows that within all test areas the lowest values are obtained using the methodology proposed by the Research Laboratory of Soil Erosion and Channel Processes of Moscow State University. and the highest values using USLE, or using the methodology proposed by Moore I.D. and Nieber J.L.
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Review
For citations:
Maltsev K.A. Quality Analysis of the Global Digital Relief Model GMTED2010 for Evaluation of the Erosion Potential (on the Example of the South of the European Territory of Russia). Proceedings of the Russian Geographical Society. 2022;154(5-6):112-122. (In Russ.) https://doi.org/10.31857/S0869607122050068
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