Inundation detection in Hue from multitemporal SAR images by using statistical similarity measure

http://jmes.humg.edu.vn/en/archives?article=941
  • Affiliations:

    1 Khoa Trắc địa - Bản đồ và Quản lý đất đai, Trường Đại học Mỏ - Địa chất, Việt Nam;
    2 Công ty Cổ phần Dịch vụ Hạ tầng và Công nghệ Đông Nam, Việt Nam

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  • Received: 8th-Aug-2019
  • Revised: 9th-Oct-2018
  • Accepted: 31st-Oct-2018
  • Online: 31st-Oct-2018
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Abstract:

This paper presents a method for change detection using multitemporal synthetic aperture radar images based on statistical similarity measure in order to determine inundation regions. From Ground Range Detected (GRD) products of SAR Sentinel-1 satellite acquired before, during and after the the flood caused by typhoon Damrey in Hue city and a part of Huong Tra district, Thua Thien Hue province, changes on the ground were detected using Kullback-Leibler distance between two Log-normal distributions. Inundation detection results were evaluated by validation samples derived from optical 3 m resolution PlanetScope image, and the obtained accuracy is 87,3%. Change information extracted from multitemporal SAR images then could be exploited for different tasks, such as: inundation region mapping, statistical analysis of affected areas, etc

How to Cite
Le, T.Thu, Pham, H.Thanh Thi, Pham, T.Ha, Tran, A.Trung and Vu, T.Thi 2018. Inundation detection in Hue from multitemporal SAR images by using statistical similarity measure (in Vietnamese). Journal of Mining and Earth Sciences. 59, 5 (Oct, 2018).