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The state of the art of spaceborne remote sensing in flood management

Author

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  • Md. Shahinoor Rahman

    (George Mason University)

  • Liping Di

    (George Mason University)

Abstract

Flood management consists many aspects such as hazard assessment, vulnerability assessment, exposure assessment, risk assessment, early warning system, damage assessment as well as risk mitigation planning. Conventional flood management are depending on the ground based monitoring of rainfall and river discharge. Many parts of the world are not covered by these sensor networks in one hand and these ground based systems are costly. Most of the tropical countries have high flood risk and low financial and institutional capacity to afford ground based system. While conventional flood management is time and cost intensive, spaceborne remote sensing provides timely and low-cost data in comparison to field observation, and is the obvious choice for most developing countries affected by flooding. Many aspects of flood management are being aided with the advancement of remote sensing technology. More precise and near real time flood detection, lead time in flood early warning system, accurate and advance inputs of hydrological models are now blessed by space technology. Many methods and approaches have been developed to overcome the constrains in the application of spaceborne remote sensing in flood management. Application of satellite remote sensing in flood hazard assessment is well documented, however, the application of space technology in other aspects of the flood management is also promising. Therefore, this review paper focuses on the applicability of spaceborne remote sensing and in most of the aspects in flood management.

Suggested Citation

  • Md. Shahinoor Rahman & Liping Di, 2017. "The state of the art of spaceborne remote sensing in flood management," 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. 85(2), pages 1223-1248, January.
  • Handle: RePEc:spr:nathaz:v:85:y:2017:i:2:d:10.1007_s11069-016-2601-9
    DOI: 10.1007/s11069-016-2601-9
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    References listed on IDEAS

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    1. Sanjay Jain & R. Singh & M. Jain & A. Lohani, 2005. "Delineation of Flood-Prone Areas Using Remote Sensing Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(4), pages 333-347, August.
    2. Joy Sanyal & X. Lu, 2004. "Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review," 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. 33(2), pages 283-301, October.
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    4. Faisal Hossain, 2006. "Towards Formulation of a Space-borne System for Early Warning of Floods: Can Cost-Effectiveness Outweigh Prediction Uncertainty?," 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. 37(3), pages 263-276, March.
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    Cited by:

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    4. Mohammed Sarfaraz Gani Adnan & Ashraf Dewan & Khatun E. Zannat & Abu Yousuf Md Abdullah, 2019. "The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh," 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. 99(1), pages 425-448, October.
    5. Md Shahinoor Rahman & Liping Di, 2020. "A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment," Agriculture, MDPI, vol. 10(4), pages 1-30, April.
    6. Pratyush Tripathy & Teja Malladi, 2022. "Global Flood Mapper: a novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR," 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. 114(2), pages 1341-1363, November.
    7. Shuvrangshu Jana & Rudrashis Majumder & Prathyush P. Menon & Debasish Ghose, 2022. "Decision Support System (DSS) for Hierarchical Allocation of Resources and Tasks for Disaster Management," SN Operations Research Forum, Springer, vol. 3(3), pages 1-30, September.
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