A.G. Gudkov1, A.S. Tertychnya2, I.A. Sidorov3, S.V. Agasiev4, A.V. Khoperskov5

1,3 Bauman Moscow State Technical University (Moscow, Russia)
1 OOO NPI FIRM HYPERION (Moscow, Russia)
2,5 Volgograd State University (Volgograd, Russia)
4 FSAI HE “Peoples' Friendship University of Russia n. a. Patrice Lumumba” (Moscow, Russia)
1 profgudkov@gmail.com, 2 anna.kuzmich@volsu.ru, 3 igorasidorov@yandex.ru, 4 agasieva-sv@rudn.ru, 5 khoperskov@volsu.ru

The accuracy of mathematical modeling of the hydrological regime for a specific territory is determined by the quality of the digital elevation model (DEM) of this area. A particular challenge is the modeling of floodplain areas with a large number of reservoirs with changing water levels during flood periods. A distinctive feature of such a territory is the complex structure of small channels, vegetation and wetlands. Small changes in topographic elevations can significantly change flood patterns, requiring the construction of a high-precision DEM.

Objective – the goal is the analysis of the quality of a digital terrain model based on constructing a system of changing coastlines, processing multispectral satellite images of the area at different time.

The software for processing multi-channel satellite images with identification of water bodies in batch mode with subsequent vectorization of coastlines has been created. The possibility of updating altitude data using a set of boundaries of reservoirs using infrared data from the Landsat 7 ETM+ and Landsat 8-9 OLI satellites is shown. The critical values of intensities in the infrared channels have been determined, providing the best identification of the boundaries of reservoirs.

The construction of geographically referenced boundaries of water bodies can be used to solve various environmental, hydrological and socio-economic problems. In particular, it is proposed to update elevation data for periodically flooded floodplain areas.

Gudkov A.G., Tertychnya A.S., Sidorov I.A., Agasiev S.V., Khoperskov A.V. Identification of water bodies based on processing of multispectral satellite images. Nanotechnology: development and applications – XXI century. 2024. V. 16. № 4. P. 21–31. DOI: https://doi.org/10.18127/ j22250980-202404-03 (in Russian)

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