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Association of lowland reservoirs with marsh systems at an ordinary water level amplitude of 3–5 m can increase the total flooding area 1.5–2 times. The use of remote sensing and GIS for the processing and storage of satellite and field data allows the study and monitoring of wetland ecosystems at a new information and cartographic level, as well as correcting and supplementing existing literary and cartographic data. In this work we used ERS data obtained from the modern Landsat­8 and Sentinel­2 satellites. The GIS­based analysis of changes in the studied landscapes revealed the zone of direct influence of the reservoir inland up to 3.5 km, and allowed the areas of shallow water and adjacent wetland ecosystems to be evaluated and four hydrological zones to be established.

We address a problem of the joint processing of digital maps of the earth surface and satellite imagery of flooded areas as part of the software intended to help authorities to respond to emergency situations. The problem of mapping flooded areas is solved based on the use of satellite images and GIS technologies. This paper describes an algorithm for mapping areas submerged by flooded rivers based on radar satellite images and analysis of characteristic relief features, allowing one to improve the accuracy of the image geolocation with a small number of reference points. The experimental studies demonstrate that using the algorithm proposed, the alignment accuracy of the river water surface obtained from a satellite image and from a digital topographic map has increased by 40%.