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Estimating Chlorophyll Density of Crop Canopies by Using Hyperspectral Data

WU Chang\|shan\+1, XIANG Yue\|qin\+2, ZHENG Lan\|fen\+1, TONG Qing\|xi\+1 (1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; 2. Institute of Geography, Chinese Academy of Sciences, Beijing 100101, China)  
The correlative relationship in the reflectance spectra, first derivative spectra of canopies and the chlorophyll content of early\|planted rice, late\|planted rice, and maize has been discussed. It shows that their correlative relationship is good, especially for the first derivative spectral data at the waveband 762 nm. Therefore, the same regression equation can be calculated for different crops. The linear regression equation has been built by using the first derivative spectral data of a part of samples at waveband 762 nm to estimate the chlorophyll content. Through the test of the other part of samples, it shows that the standard error is 0.272g/m\+2, and the estimated accuracy is about 80%.
【Fund】: 国家“九五”科技攻关计划“新型遥感技术的应用开发”资助项目
【CateGory Index】: Q946
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