Open AccessUSE OF SENTINEL-2 SATELLITE DATA TO ASSESS RUNNING EVENTS IN THE DON DELTA
Author(s) -
V.N. Gabova,
O.E. Arkhipova
Publication year - 2020
Publication title -
èkologiâ. èkonomika. informatika. tom 2: geoinformacionnye tehnologii i kosmičeskij monitoring
Language(s) - English
Resource type - Journals
ISSN - 2500-123X
DOI - 10.23885/2500-123x-2020-2-5-63-69
Subject(s) - delta , environmental science , satellite , hydrometeorology , wind speed , meteorology , river delta , drainage , remote sensing , hydrology (agriculture) , climatology , geography , geology , precipitation , engineering , geotechnical engineering , aerospace engineering , ecology , biology
Drifting phenomena pose a significant threat to human life and the economy. The estuary of the Don is an ideal testing ground for surge phenomena. The largest surges can reach 2.8 m at the sea edge of the Don delta, the largest surges – 3.3 m. In addition, this area is highly urbanized and has great economic importance. The work is devoted to the use of Sentinel 2 satellite imagery data to assess the areas of drainage of the bottom of the Taganrog Bay and the sea part of the Don delta as a result of wind-driven phenomena. The paper considers the period from 2015 to 2020. The study of surges and overshoots in the mouth area of the Don River is based on observational data of the standard hydrometeorological network of Roshydromet. A combination of spectral channels has been determined, which allows to clearly distinguish the water-land boundary. The main research methods are the method of classification with training, which allows you to identify the most characteristic classes of objects. To assess the quality of the classification carried out, the classification accuracy was assessed using the inconsistency matrix, which confirmed the validity of the method. As a result of the classification carried out, the areas of bottom drying were calculated. The dependence of the bottom drainage value on the speed and duration of northeast and east winds is shown. Analysis of the data showed that a combination of satellite information, meteorological data and data from level gauges is required to monitor the overshoot phenomenon. This publication was prepared as part of the GZ SSC RAS, № g. project 01201363188