| 基于不同光谱主导因子的内陆湖泊水体叶绿素浓度三波段反演模型研究 |
| 摘要点击 2454 全文点击 1264 投稿时间：2010-01-06 修订日期：2010-02-26 |
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| 中文关键词 三波段模型 浮游藻类 总悬浮物 叶绿素浓度 光谱主导因子 太湖 |
| 英文关键词 Three wavelengths factor model phytoplankton total suspended matter chlorophyll concentration spectra dominating factors Lake Taihu |
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| 中文摘要 |
| 利用分层聚类法，对实测的遥感反射率进行分类，结合固有光学特征和实测的水色要素，确定每种类别遥感反射率光谱变化的主导影响因子.根据太湖、滇池、三峡库区及巢湖的地面遥感实验，将其遥感反射率分为3类，类型一的光学特性由总悬浮物和浮游藻类共同主导，类型二的光学特性由浮游藻类主导，类型三的光学特性由悬浮物主导.根据每类水体光学特征的差异，分别建立叶绿素浓度的三波段反演模型，反演的平均相对误差为23.8%，均方根误差为8.5 mg/m3，其反演精度要高于未经分类而直接建立的三波段模型. |
| 英文摘要 |
| A hierarchical cluster analysis is applied to the data set of Rrsspectra. Combing the inherent optical and measured water color characteristics, we determine factors of the variability for each class of Rrs spectra. The Rrs measured from Lake Taihu,Chaohu,Dianchi and Three Gorges Reservoir can be divided into three spectrally distinct classes:class 1,class 2 and class 3. Class 1 is associated with water optical property dominated by total suspended matter and phytoplankton. Class 2 is associated with water optical property dominated by phytoplankton. And Class 3 is associated with water optical property dominated by total suspended matter. The three wavelengths factor Chlorophyll a concentration inversion models were developed according to different class water optical characteristics, which means relative error and RMSE are 23.8% and 8.5 mg/m3, and have higher accuracy than the model developed without classification. |
