A review of remote-sensing-based spatial/temporal information capturing for water resource studies in Poyang Lake

Guofeng Wu

doi:10.1117/12.836771

13 October 2009 A review of remote-sensing-based spatial/temporal information capturing for water resource studies in Poyang Lake

Guofeng Wu

Author Affiliations +

Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74920L (2009) https://doi.org/10.1117/12.836771
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China

Abstract

Remote sensing techniques have been widely applied to capture spatial/temporal information for water resource studies and they provide great useful information for keeping the managements and sustainable developments of aquatic ecosystems. Poyang Lake, the largest freshwater lake in China, is located at the southern bank of the middle Yangtze River, and the high water quality makes it an important international wetland, allowing its ecosystem to provide significant benefits to the society. This paper aims to review recent applications of remote sensing techniques on capturing spatial/temporal information for water resource studies in Poyang Lake. The Poyang Lake and remote sensing techniques are briefly introduced first. Then the applications of remote sensing techniques on the studies of water level, water area, flooding disaster, water quality (e.g. water clarity and suspended sediment concentration) and eutrophication of Poyang Lake are reviewed. Finally some potential applications of remote sensing techniques on Poyang Lake and conclusion are summarized. It is hoped that this paper might provide necessary and integrated information for the researchers to understand the applications of remote sensing techniques in the water resource studies and to establish foundation for their further studies in Poyang Lake.

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Guofeng Wu "A review of remote-sensing-based spatial/temporal information capturing for water resource studies in Poyang Lake", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74920L (13 October 2009); https://doi.org/10.1117/12.836771

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