Flood Monitoring Using Sentinel-1 SAR for Agricultural Disaster Assessment in Poyang Lake Region

Author:

Li Hengkai1,Xu Zikun1,Zhou Yanbing2,He Xiaoxing1ORCID,He Minghua1

Affiliation:

1. Jiangxi Province Education Department, School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

2. Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China

Abstract

An extensive number of farmlands in the Poyang Lake region of China have been submerged due to the impact of flood disasters, resulting in significant agricultural economic losses. Therefore, it is of great importance to conduct the long-term temporal monitoring of flood-induced water body changes using remote sensing technology. However, the scarcity of optical images and the complex, fragmented terrain are pressing issues in the current water body extraction efforts in southern hilly regions, particularly due to difficulties in distinguishing shadows from numerous mountain and water bodies. For this purpose, this study employs Sentinel-1 synthetic aperture radar (SAR) data, complemented by water indices and terrain features, to conduct research in the Poyang Lake area. The results indicate that the proposed multi-source data water extraction method based on microwave remote sensing data can quickly and accurately extract a large range of water bodies and realize long-time monitoring, thus proving a new technical means for the accurate extraction of floodwater bodies in the Poyang Lake region. Moreover, the comparison of several methods reveals that CAU-Net, which utilizes multi-band imagery as the input and incorporates a channel attention mechanism, demonstrated the best extraction performance, achieving an impressive overall accuracy of 98.71%. This represents a 0.12% improvement compared to the original U-Net model. Moreover, compared to the thresholding, decision tree, and random forest methods, CAU-Net exhibited a significant enhancement in extracting flood-induced water bodies, making it more suitable for floodwater extraction in the hilly Poyang Lake region. During this flood monitoring period, the water extent in the Poyang Lake area rapidly expanded and subsequently declined gradually. The peak water area reached 4080 km2 at the height of the disaster. The severely affected areas were primarily concentrated in Yongxiu County, Poyang County, Xinjian District, and Yugan County.

Funder

Open Fund of Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources

Key Projects of Jiangxi Natural Science Foundation

Major Discipline Academic and Technical Leaders Training Program of Jiangxi Province

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference34 articles.

1. (2021). The Ministry of Emergency Management Released the Basic Situation of National Natural Disasters in 2020, China Disaster Reduction.

2. (2021). Top Ten Natural Disasters in China in 2020, China Disaster Reduction.

3. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features;McFeeters;Int. J. Remote Sens.,1996

4. Extraction Method of Ultra-Green Water Index for Flood Area After Rain Based on GF-2 Image;Duan;Geogr. Geogr. Inf. Sci.,2021

5. Small water body extraction method based on Sentinel-2 satellite multi-spectral remote sensing image;Wu;Natl. Remote Sens. Bull.,2022

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