The content of this article comes from the "Surveying and Mapping Bulletin" No. 3 of 2024, drawing review number: GS Jing (2024) No. 0499
Application of multispectral remote sensing images in water level monitoring of the Yangtze River
Wei Xiang, Tian Chengshuo, Qin Sixian, Duan Mengmeng
Wuhan Institute of Surveying and Mapping, Wuhan, Hubei 430022
Funds: Key Laboratory of Geographic National Conditions Monitoring, Ministry of Natural Resources(2023NGCM07)
Key words: water level monitoring, multispectral imagery, water area, normalized difference water index
Citation format:WEI Xiang, TIAN Chengshuo, QIN Sixian, et al. Application of multispectral remote sensing images in water level monitoring of the Yangtze River[J]. Bulletin of Surveying and Mapping, 2024(3): 113-117. DOI: 10.13474/j.cnki.11-2246.2024.0319
Abstract:Human social life and production activities are closely related to the change of river water level. The river water level monitoring system can grasp the changes of river water level in real time, which is an important means to scientifically warn of hidden water hazards, ensure the safety of ports and shipping, and improve flood prevention and drought resistance. In this paper, the correlation between the local water area and the observed water level of the Yangtze River was studied, and the regression equation was established. Finally, the water area of the Yangtze River was extracted by using multispectral remote sensing images, and the regression equation was used to estimate the water level of the Yangtze River. The results show that this method can provide a simple and feasible estimation method for water level monitoring of rivers, lakes, reservoirs and other water bodies.
About authorAbout author:WEI Xiang (1980—), male, master, senior engineer, main research direction is geographic information and remote sensing applications. E-mail:[email protected]
First trial: Ji Yinxiao review: Song Qifan
Final Judge: Jin Jun
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