ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 2, pp. 415-423

Express assessment of flood consequences using non-commercial satellite data: A case study of local catastrophic flood hotspots in the Republic of Dagestan in spring 2026

M.V. Vrublevsky 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 24.04.2026
DOI: 10.21046/2070-7401-2026-23-2-415-423
In the context of rapidly evolving natural disasters, the speed of assessment is just as critical as its accuracy for timely decision making and preliminary damage estimation. Open-source satellite data provide a cost-effective way to rapidly identify affected areas and evaluate the impact of hazardous events across vast territories. This study aims to analyze the potential of using non-commercial, freely available Earth observation data for rapid assessment of flooded zones, localized destruction, and their consequences, using the catastrophic flood in the Republic of Dagestan in March–April 2026 as a case study. During this period, heavy rainfall led to flooding of urban and rural areas, destruction of residential buildings, rockfalls, landslides, the breach of the Gedzhukh reservoir embankment, road washouts, and damage to bridges and urban infrastructure. This paper presents the results of a preliminary impact assessment of the flood.
Keywords: floods, satellite monitoring, open satellite data, satellite altimetry, Sentinel 3, Sentinel 6, Sentinel 2, Landsat, Sentinel 1, Meteor-M, Republic of Dagestan
Full text

References:

  1. Burtsev M. A., Uvarov I. A., Loupian E. A. et al., Vega-Hydro is a satellite service for hydrological tasks, Materialy 22-i Mezhdunarodnoi konferentsii “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa” (Proc. 22th Intern. Conf. “Current Problems in Remote Sensing of the Earth from Space”), Moscow: IKI RAS, 2024, p. 377 (in Russian), DOI: 10.21046/22DZZconf-2024a.
  2. Loupian E. A., Proshin A. A., Bourtsev M. A. et al., Experience of development and operation of the IKI-Monitoring center for collective use of systems for archiving, processing and analyzing satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, V. 16, No. 3, pp. 151–170 (in Russian), DOI: 10.21046/2070-7401-2019-16-3-151-170.
  3. Chen J., Fenoglio L., Kusche J. et al., Evaluation of Sentinel 3A altimetry over Songhua River Basin, J. Hydrology, 2023, V. 618, Article 129197, DOI: 10.1016/j.jhydrol.2023.129197.
  4. Deidda C., De Michele C., Arslan A. N. et al., Accuracy of Copernicus altimeter water level data in Italian rivers accounting for narrow river sections, Remote Sensing, 2021, V. 13, Iss. 21, Article 4456, DOI: 10.3390/rs13214456.
  5. Fang C., Long D., Huang Q. et al., Improved water level retrieval in complex riverine environments: Sentinel 3 and Sentinel 6 altimetry over China’s rivers, Water Resources Research, 2025, V. 61, Iss. 4, Article e2024WR039705, DOI: 10.1029/2024WR039705.
  6. Halicki M., Niedzielski T., The accuracy of the Sentinel 3A altimetry over Polish rivers, J. Hydrology, 2022, V. 606, Article 127355, DOI: 10.1016/j.jhydrol.2021.127355.
  7. Henry J. B., Chastanet P., Fellah K., Desnos Y.‐L., Envisat multi-polarized ASAR data for flood mapping, Intern. J. Remote Sensing, 2006, V. 27, Iss. 10, pp. 1921–1929, DOI: 10.1080/01431160500486724.
  8. Jiang L., Nielsen K., Dinardo S. et al., Evaluation of Sentinel 3 SRAL SAR altimetry over Chinese rivers, Remote Sensing of Environment, 2020, V. 237, Article 111546, DOI: 10.1016/j.rse.2019.111546.
  9. Martinis S., Kersten J., Twele A., A fully automated TerraSAR-X based flood service, ISPRS J. Photogrammetry and Remote Sensing, 2015, V. 104, pp. 203–212, DOI: 10.1016/j.isprsjprs.2014.07.014.