Dr. Guofeng Wu Profile

Dr. Guofeng Wu

at Wuhan Univ

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Proceedings Article | 13 October 2009 Paper

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

Guofeng Wu

Proceedings Volume 7492, 74920L (2009) https://doi.org/10.1117/12.836771

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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.

Proceedings Article | 4 September 2007 Paper

Monitoring variation of water turbidity and related environmental factors in Poyang Lake National Nature Reserve, China

Wei Liu, Yanfang Liu, Chris Mannaerts, Guofeng Wu

Proceedings Volume 6754, 67541H (2007) https://doi.org/10.1117/12.764879

KEYWORDS: MODIS, Data modeling, Statistical analysis, Reflectivity, Satellites, Statistical modeling, Water, Spatial resolution, Vegetation, Remote sensing

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There are pronounced spatial-temporal patterns in water turbidity in Poyang Lake National Nature Reserve (NNR), China. A most suitable empirical model validated by the field data between Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and Secchi Disk Depth (SDD) selected as the indicator of water turbidity is used to map the spatio-temporal dynamics. High water transparency values are observed during the summer season, while the most turbid situations always occur in winter. In different years, the trend is similar while the occurrence of detailed peaks is a little different in the same lake. Comparing the situation in different seasons, the most turbid places show in different directions. Different lakes have their specific situations. The turbidity difference in the low-water season is less than the varying in the other seasons. Statistical methods were used to quantify the influence of factors such as water level, wind speed, temperature and rainfall. Further statistic analysis is used to judge the accuracy of the model. Some ancillary environmental factors which can also play a role such as fishing, dredging, vegetation and bird's influence are analyzed by theoretical deduction, supported by field investigations and historical data.

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