Predicting of Flooding in the Mekong Delta Using Satellite Images

  • Hiep Xuan Huynh
  • Tran Tu Thi Loi
  • Toan Phung HuynhEmail author
  • Son Van Tran
  • Thu Ngoc Thi Nguyen
  • Simona Niculescu
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 298)


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.


Assess the risk of flooding Satellite image Modeling of image classification Time series analysis Random forest Decision trees Determining and predicting the flooding area 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Hiep Xuan Huynh
    • 1
  • Tran Tu Thi Loi
    • 2
  • Toan Phung Huynh
    • 1
    Email author
  • Son Van Tran
    • 3
  • Thu Ngoc Thi Nguyen
    • 3
  • Simona Niculescu
    • 4
  1. 1.Cantho UniversityCanthoVietnam
  2. 2.Fsoft CanthoCan ThoVietnam
  3. 3.Kiengiang Medical CollegeRạch GiáVietnam
  4. 4.Université de Bretagne Occidentale - UBOBrestFrance

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