Water pollution environment information extraction based on Landsat images

Wenlong Yu; Yingqi Wen; Rui Wang

doi:10.1117/12.2667284

10 February 2023 Water pollution environment information extraction based on Landsat images

Wenlong Yu, Yingqi Wen, Rui Wang

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520P (2023) https://doi.org/10.1117/12.2667284
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Taihu Lake, one of the five largest freshwater lakes in China, is located in the south of the Yangtze River Delta, with a water area of 2338.1km². In recent years, with the deterioration of water quality, the water pollution in Taihu Lake has become increasingly serious. In 2007, a large-scale outbreak of cyanobacteria caused a water crisis for nearly 2 million people in Wuxi. The main performance of water pollution is that the content of nitrogen and ammonia in water exceeds the standard, which leads to eutrophication of water and excessive proliferation of algae. Therefore, this paper uses Landsat-5 TM, Landsat-7 ETM and Landsat-8 OLI remote sensing data to study the information extraction methods of eutrophic polluted water bodies in Taihu region. By comparing with the health status report on Taihu Lake, it is found that the calculation results of remote sensing data can well reflect the distribution characteristics of ammonia nitrogen pollution in this area, and provide a basis for monitoring and controlling ammonia nitrogen pollution in this area by using remote sensing technology.

Citation Download Citation

Wenlong Yu, Yingqi Wen, and Rui Wang "Water pollution environment information extraction based on Landsat images", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520P (10 February 2023); https://doi.org/10.1117/12.2667284

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