We consider the problem of construction of nearshore underwater terrain model. While this information is less available, it is the most required for solving various tasks concerning the changes of water level. In the article we show, that it is possible to use the observations of the actual water level changes to obtain the terrain model. We use the freely available satellite images of the resolution of 10 m (in particular Sentinel-2) to observe the shorelines at the subpixel level. As a result we have the shoreline coordinates of higher than 10 m precision. After comparing the shorelines obtained from several overlapping images we have found that the horizontal position of the Sentinel-2 images may have systematic errors of about the size of their pixels, which becomes noticeable for the subpixel processing technique. In the article we suggest a simple algorithm, which allows us to find the horizontal shift vector required to align the contours obtained from two overlapping images. The experimental results show, that after the shift the contours of the shorelines from different images are in good agreement with each other.
The methods and technologies of integrated digital monitoring and forecasting of the ecological situation of the Baikal natural territory (BNT), related to the identification of man-made factors, including pollution through the atmosphere, acid precipitation, which affect the biodiversity of Lake Baikal, rivers and reservoirs of the BNT, primarily on the Baikal endemic species inhabiting these reservoirs, are considered. The concept of digital transformation of scientific research of environmental problems of BNT using a digital platform, as an open system of algorithmized network interaction, accumulating the latest methods, technologies and providing access to large volumes of spatial and temporal data, services for their processing, as well as digital tools and services, is proposed.
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