Technology of water surface area calcula-tion using data received from artificial satellites of Sentinel-2 series, and its im-plementation for determination of the surface areas of the Crimean saline lakes

 R.V. Borovskaya, S.S. Smirnov

 Azov-Black Sea Branch of the FSBSI “VNIRO” (“AzNIIRKH”), RF, Kerch, Sverdlov St., 2


DOI: 10.33075/2220-5861-2020-2-36-43

UDC 556.55:629.783(477.75)


   This article presents one of the possible methods to solve the problems of water bodies’ detection and estimation of their surface area using data received from the satellites of Sentinel-2 series.

   To identify water bodies, the Modified Normalized Difference Water Index (MNDWI), which employs the data of the green range of the visible spectrum and the middle infrared (MIR) range, was applied to multi-spectral satellite images. Using a raster image with MNDWI values as a basis, detection of water bodies was conducted. The described method of water surface area calculation utilized SNAP v 7.0 software package.

   The proposed method was tested through estimation of the surface areas of 14 Crimean hypersaline lakes most of which are of fisheries importance signification. As a result, it was found out that the surface areas of Maloye (Small) Yaly-Maynak Lake of Eupatoria group, and Aktash and Kirkoyash Lakes of Kerch group underwent the greatest seasonal changes, while Kirleut and Krugloye (Round) Lakes of Perekop group,  Yarylgach Lake of Tarkhankut group, and  Oybur Salt and Moynak Lakes of Eupatoria group were shown to undergo the least seasonal changes. Average long-term values of the surface areas of the investigated lakes were lower in comparison with 2004 values, excluding Yarylgach Lake. The largest decrease was recorded for Aktash Lake.

   This method along with values of the surface area of Crimean hypersaline lakes obtained by this method are of significant practical significance when applied to assessment and revision of the stocks of the aquatic biological resources inhabiting the water bodies under investigation.

Keywords: method of calculation, remote sensing, detection of water bodies, square of water surface, satellite monitoring, hyperhaline Crimean lakes, lake fisheries importance signification.

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