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Nguyen, X. L., Le, Q. H., & Le, M. S. (2013). Exploitation of near real-time rainfall data from remote sensing image for flooding management, forecast and warning in Integrated Flood Analysis System (IFAS). Journal of Geodesy and Cartography, (17), 25–34. https://doi.org/10.54491/jgac.2013.17.81
Abstract
Rainfall data is important data for planning water resources management as well as reducing the impacts caused by natural disasters. Currently, rainfall observation includes main methods such as on-site, using weather radar or remote sensing technology. Although two first methods have high accuracy but encountered great difficulty for measuring at rugged areas, mountains and sea. Meanwhile, the method by using remote sensing technology is being studied and flourished, becoming a useful tool in water resources management and reducing damage caused by natural disasters; especially, impacted situation of climate change more seriously. In particular, rainfall measurement by using remote sensing technology can be combined with monitoring, forecasting and warning models of natural disasters such as floods and droughts. This focused to describe the method of near real-time rainfall extraction by using remote sensing technology in combination with infrared and radar remote sensing data. At the same time, the use of extracted rainfall data was also introduced through flood analysis system integration – IFAS (Integrated Flood Analysis System).
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