Morphometric Analysis of the Sokolovsky Reservoir Catchment Area Using GIS-Technologies

Authors

DOI:

https://doi.org/10.17308/geo/1609-0683/2024/4/93-104

Keywords:

the Sokolovsky reservoir catchment, morphometric characteristics, catchment transformation, classification of images, digital surface model

Abstract

The purpose is to assess the current parameters of the Sokolovsky reservoir catchment on the Kundryuchya River. Materials and methods. Based on the digital surface model (DSM) of ALOS WORLD 3D, some of the main Sokolovsky reservoir catchment morphometric parameters have been identifi ed. Preprocessing of the DSM has been performed to minimize the infl uence of woody vegetation and buildings on the height and slope values. The accuracy of the DSM conversion has been estimated. The anthropogenic transformation level of the Sokolovsky reservoir basin has been determined according to the Landsat-8 satellite image. The classifi cation accuracy has been evaluated based on the confusion matrix. Results and discussion. Data on the area, perimeter, maximum length, and width of the basin have been obtained; the average, minimum, maximum slope, average, minimum, and maximum height of the basin above sea level, erosional fragmentation density, and other aspects have been determined. Conclusion. The geoinformation analysis results have shown that the Earth remote sensing data used in the study are applicable to the assessment of small plain reservoir basin morphometric parameters.

Author Biographies

  • Valeria N. Gabova, Southern Federal University

    Postgraduate Student at the Department of Physical Geography, Ecology and Environment Protection

  • Andrey N. Kuznetsov, Southern Federal University

    Cand. Sci. (Geogr.), Assoc. Prof., Director

  • Yuri A. Fedorov, Southern Federal University

    Dr. Sci. (Geogr.), Prof., Head of the Department of Physical Geography, Ecology and Environment Protection

References

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Published

2024-12-02

Issue

Section

Land hydrology, water resources, hydrochemistry

How to Cite

Morphometric Analysis of the Sokolovsky Reservoir Catchment Area Using GIS-Technologies. (2024). Proceedings of Voronezh State University. Series: Geography. Geoecology, 4, 93-104. https://doi.org/10.17308/geo/1609-0683/2024/4/93-104