Water pollution environment information extraction based on Landsat images

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.

Analysis of Spatio-temporal Change Characteristics of Water Environment in Nansi Lake Based on Satellite Remote Sensing Monitoring

“…This article uses remote sensing images provided by Landsat-8 satellite as the data source and analyses the environmental situation of Nansi Lake through a combination of three methods [3][4][5][6].…”

Satellite Detection of Surface Water Extent: A Review of Methodology

“…With the co-existence of multiple types of features in remote sensing images, it is difficult to accurately extract all water bodies based on the information of only one band. With the development of multiband methods, the application of single-band methods in water body extraction is no longer common [67].…”