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Monitoring Flood Extent and Forecasting Excess Runoff Risk with RADARSAT-1 Data

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  • Ferdinand Bonn
  • Roy Dixon

Abstract

Earth observation from active microwave satellites such as RADARSAT-1 is an excellent tool to monitor and forecast floods. Two complementary approaches are described in this paper: (a) real time or near-real time monitoring of flood extent and (b) mapping of hydrological properties of drainage basins. Since it can penetrate through clouds, which usually occur during precipitation periods, and due to the fact that it can be programmed with different incidence angles, RADARSAT-1 enables frequent coverage over specific areas of interest. It has been used successfully to monitor a major flood of the Red River in Manitoba in 1997, by providing frequent coverage of the flood during its progression and decrease. Resulting data and images have been useful in planning the emergency measures and in assessing flood damage. RADARSAT has also the ability to characterize hydrological properties of watersheds. It has been used in agricultural catchments in Europe for mapping soil surface roughness, which affects runoff coefficients, concentration time and resistance to erosion processes. Used to complement optical data, RADARSAT has provided information on the status of land use and soil protective cover in drainage basins. This information can then be translated into parameters and coefficients that hydrological models can use for runoff and flood forecasting Copyright Springer 2005

Suggested Citation

  • Ferdinand Bonn & Roy Dixon, 2005. "Monitoring Flood Extent and Forecasting Excess Runoff Risk with RADARSAT-1 Data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 35(3), pages 377-393, July.
    • Handle: RePEc:spr:nathaz:v:35:y:2005:i:3:p:377-393
    DOI: 10.1007/s11069-004-1798-1
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    Cited by:

    1. Simona Niculescu & Cédric Lardeux & Jenica Hanganu & Grégoire Mercier & Laurence David, 2015. "Change detection in floodable areas of the Danube delta using radar images," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 1899-1916, September.
    2. K. Joyce & S. Samsonov & S. Levick & J. Engelbrecht & S. Belliss, 2014. "Mapping and monitoring geological hazards using optical, LiDAR, and synthetic aperture RADAR image data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 137-163, September.
    3. Marc Benjamin Sciance & Scott L. Nooner, 2018. "Decadal flood trends in Bangladesh from extensive hydrographic data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 115-135, January.

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