Research Article
Predicting of Flooding in the Mekong Delta Using Satellite Images
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@INPROCEEDINGS{10.1007/978-3-030-34365-1_11, author={Hiep Huynh and Tran Loi and Toan Huynh and Son Tran and Thu Nguyen and Simona Niculescu}, title={Predicting of Flooding in the Mekong Delta Using Satellite Images}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 8th EAI International Conference, ICCASA 2019, and 5th EAI International Conference, ICTCC 2019, My Tho City, Vietnam, November 28-29, 2019, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2019}, month={12}, keywords={Assess the risk of flooding Satellite image Modeling of image classification Time series analysis Random forest Decision trees Determining and predicting the flooding area}, doi={10.1007/978-3-030-34365-1_11} }- Hiep Huynh
Tran Loi
Toan Huynh
Son Tran
Thu Nguyen
Simona Niculescu
Year: 2019
Predicting of Flooding in the Mekong Delta Using Satellite Images
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-34365-1_11
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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