Integration of Sentinel radar and optical data for monitoring and analysis of floods on the example of the catastrophic floods of 2019 in Tulun
https://doi.org/10.24930/1681-9004-2025-25-6-1404-1415
EDN: OBJZBR
Abstract
Research subject. In 2019, the city of Tulun in the Irkutsk Oblast experienced devastating floods, causing significant damage to infrastructure and the population. Detailed analysis and monitoring are required.
Aim. Development and testing of a methodology for integrating data from Sentinel-1 and 2 satellites for effective flood monitoring, analysis of their dynamics, and assessment of suitability for identifying flooded areas.
Materials and methods. Images from Sentinel-1 radar satellites and Sentinel-2 optical satellites were used. Data processing was carried out using SNAP and Global Mapper, including geometric correction, filtering, and data integration. Emphasis was placed on temporal synchronization, spatial resolution unification, and weighted summation methods.
Results. The study revealed significant changes in the dynamics of the water surface area from 2017 to 2024, especially in 2019. The flooded area ranged from 3.252 to 12.018 km2, with an average value of 4.645 km2. Data integration significantly enhanced monitoring accuracy.
Conclusions. The integration of Sentinel-1 and Sentinel-2 data improved the accuracy of flood scale assessments, highlighting the importance of a comprehensive approach. The results can be used to improve risk management strategies and develop damage reduction measures, as well as to provide more complete and reliable information for decision-making.
Supporting agencies: The study was funded by the Russian Science Foundation, project No. 24-27-20059, and the Irkutsk Region, grant No. 30-2025-004510
About the Authors
A. A. Yuryev
Institute of the Earth’s Crust, SB RAS; V.B. Sochava Institute of Geography, SB RAS
Russian Federation
Russian Federation
Anton A. Yuryev
664033; 128 Lermontov st.; 664033; 1 Ulan-Batorskaya st.; Irkutsk
E. P. Dushkin
Institute of the Earth’s Crust, SB RAS
Russian Federation
Russian Federation
Egor P. Dushkin
664033; 128 Lermontov st.; Irkutsk
A. A. Rybchenko
Institute of the Earth’s Crust, SB RAS; V.B. Sochava Institute of Geography, SB RAS
Russian Federation
Russian Federation
Artem A. Rybchenko
664033; 128 Lermontov st.; 664033; 1 Ulan-Batorskaya st.; Irkutsk
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Review
For citations:
Yuryev A.A., Dushkin E.P., Rybchenko A.A. Integration of Sentinel radar and optical data for monitoring and analysis of floods on the example of the catastrophic floods of 2019 in Tulun. LITHOSPHERE (Russia). 2025;25(6):1404-1415. (In Russ.) https://doi.org/10.24930/1681-9004-2025-25-6-1404-1415. EDN: OBJZBR
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