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引用本文:周冠华,柳钦火,马荣华,田国良.基于半分析模型的波段最优化组合反演混浊太湖水体叶绿素a.湖泊科学,2008,20(2):153-159. DOI:10.18307/2008.0203
ZHOU Guanhua,LIU Qinhuo,MA Ronghua,TIAN Guoliang.Inversion of chlorophyll-a concentration in turbid water of Lake Taihu based on optimized multi-spectral combination. J. Lake Sci.2008,20(2):153-159. DOI:10.18307/2008.0203
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基于半分析模型的波段最优化组合反演混浊太湖水体叶绿素a
周冠华1,2, 柳钦火1, 马荣华3, 田国良1
1.中国科学院遥感应用研究所遥感科学国家重点实验室, 北京 100101;2.北京师范大学资源学院, 北京 100875;3.中国科学院南京地理与湖泊研究所, 南京 210008
摘要:
内陆水体叶绿素a浓度定量反演是水质遥感的热点与难点.本文基于对内陆水体叶绿素a、悬浮物、溶解有机物与水分子的光谱特征分析,从半分析生物光学模型出发,利用太湖实测的水面ASD高光谱遥感数据三波段组合,进行迭代优化,得到与叶绿素浓度密切相关而受悬浮物与黄色物质影响小的最优波段组合模型,反演精度较高,其决定系数和均方根误差分别为0.8358、3.816mg/m3,该方法可以有效地反演高浓度悬浮物主导光学特性的水体叶绿素a浓度.
关键词:  太湖  高光谱  半分析模型  叶绿素a  组合优化
DOI:10.18307/2008.0203
分类号:
基金项目:中国科学院知识创新工程重要方向项目(KZCX2-YW-313,KZCX3-SW-338);国家自然科学基金重点项目(40730525);国家自然科学基金项目(40671138)联合资助
Inversion of chlorophyll-a concentration in turbid water of Lake Taihu based on optimized multi-spectral combination
ZHOU Guanhua1,2, LIU Qinhuo1, MA Ronghua3, TIAN Guoliang1
1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101, PR. China;2.College of Resources Sciences and Technology, Beijing Normal University, Beijing 100875, P. R. China;3.Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China
Abstract:
Inversion of phytoplankton chlorophyll-a concentration of inland water body is hotspot and difficulty problem inwater quality remote sensing. This paper provides a method to resolve this problem. Basing on the characteristic spectralanalysis of chlorophyll-a, suspended matter, chromatic dissolved inorganic matter and pure water molecule in inland waterbody, the three-band model was spectrally tuned in accord with optical properties of Lake Taihu to optimize spectral bandscombination for accurate chlorophyll-a concentration estimation. The remarkable linear relationship was established betweenanalytically measured chlorophyll-a concentration and the three-band model. Depended on the favorable theory basis of themodel developed, this method achieved good result with high determination coefficient 0.8358 and low root-mean-squareerror (3.816 mg/m3), which was proved to be an useful tool to retrieval chlorophyll-a concentration in very turbid, hyper-eutrophicinland waters.
Key words:  Lake Taihu  semi-analytical model  hyperspectral  chlorophyll-a  optimum combination
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