Abstract
Flooding is a natural risk, large floods have occurred almost every year. These are major issues that researchers are interested and to identify flooded areas or assess the risk of flooding, the researchers using image LiDAR or image RADAR to flood mapping, flood risk management, observation and change detection in floodable area. However, flood modeling or flood assessment don’t solve the problem of flood risks. Therefore, in this paper we propose a new approach of processing methodology based on time series analysis that enables predicting of the floodable areas in the Mekong Delta using new satellite images such as Lansat 7 ETM+, Landsat 8 OLI and sentinel-2 MSI.
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Huynh, H.X., Loi, T.T.T., Huynh, T.P., Van Tran, S., Nguyen, T.N.T., Niculescu, S. (2019). Predicting of Flooding in the Mekong Delta Using Satellite Images. In: Vinh, P., Rakib, A. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2019 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-030-34365-1_11
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