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《Science of Surveying and Mapping》 2007-04
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Hyperspectral monitoring model of eutrophication in Poyang Lake

WANG Ting①②, HUANG Wen-jiang②, LIU Liang-yun② , JIA Jian-hua①, SHEN Tao②(① Dept. of Survey Engineering, Xi’an university of science and technology, Shanxi Xi’an 710054;② National Engineering Research Center for Information Technology in Agriculture, Beijing 100097)  
This study presents an approach for monitoring and evaluating the eutrophic state with field reflectance spectra in Poyang Lake. Based on the correlation of water parameters and spectral reflectance, the estimating models of water parameters have been developed. With the TLI eutrophic state index model, the lake eutrophic states are monitored and evaluated. The result shows: 1) The effect of algorithms of SD, TN and TP is good; 2) Single parameter TLI compared with multi-parameter TLI is limited. Using average of multi-parameter TLI, the evaluation of eutrophication is more accurate; 3) The great change of suspended sediments concentration covered up the information of Chlorophyll-a, so the estimating model of Chlorophyll-a is not universal. It needs more spectral data in big range and the four seasons to build and improve more representational models; 4) Poyang Lake is in eutrophic state, and needs to be prevented from furtherworsen.
【Fund】: 国家重点基础研究发展规划项目(G20000779);; 农业部“引进国际先进农业科学技术”专项基金项目(2006-G63);; 农业面源污染信息系统与监测预警项目(070405);; 中国博士后科学基金资助(20060390095)
【CateGory Index】: TP79
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