叶肉结构对叶片光谱及生化组分定量反演的影响 |
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作者姓名: | 施润和 庄大方 牛铮 王汶 |
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作者单位: | 1. 中国科学院地理科学与资源研究所, 北京100101;2.中国科学院研究生院, 北京100049;3.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 |
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基金项目: | 国家973项目(2002CB412507);国家863项目(2003AA131170);国家自然科学基金项目(40271086)资助 |
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摘 要: | 深入研究了PROSPECT模型中叶肉结构参数N对叶片反射和透射光谱的影响,利用迭代法使全波段代价函数达到最小来计算LOPEX93数据集中样品的最优N值,对在最优N值下的模拟光谱与实测光谱进行比较,并对N在不同取值情况下,叶绿素与水分的反演进行了研究.研究认为:(1)N对整个光谱波段产生影响,并随N的增大而减小;(2)构造全波段代价函数,利用迭代法得到的最优N值可以很好地模拟实际光谱;(3)在高估N值情况下的叶绿素和水分反演精度明显高于低估N值的情况;(4)水分反演的效果明显优于叶绿素反演的效果,原因与代价函数的选取有关.
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关 键 词: | PROSPECT模型 叶肉结构 高光谱 定量反演 代价函数 |
收稿时间: | 2004-07-26 |
修稿时间: | 2004-11-19 |
Influence of Mesophyll Structure on Leaf Spectra and Biochemical Inversion |
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Authors: | SHI Run-He ZHUANG Da-Fang NIU Zheng WANG Wen |
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Institution: | 1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2. Graduate School of the Chinese Academy of Sciences, Beijing 100049, China;
3. LRSS, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China |
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Abstract: | This paper presents an in2depth analysis on the influence of mesophyll structure parameter N in PROSPECT model on leaf reflectance and transmittance spectra. Optimal N values of samples in LOPEX93 data set are calculated by minimizing a whole2band cost function using the iterative method. Simulated spectra under calculated optimal N values are compared with measured ones. Further,inversions of chlorophyll and water content under different N values are performed. Results show that : (1) the influence of N involves the whole2band spectra from visible to near infrared,and the influence decreases with its values ; (2) simulated spectra with optimal N, which is calculated by minimizing a whole2band cost function using the iterative method,match very well with measured spectra ; (3) the inversion accuracy of chlorophyll and water content by using overestimated N is better than that by using underestimated N ; (4) the inversion accuracy of water content is significantly better than that of chlorophyll partially due to the selection of cost function. |
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Keywords: | PROSPECT model mesophyll structure hyperspectra quantitative inversion cost function |
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