| 基于波谱知识库的MODIS叶面积指数反演及验证 |
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| 引用本文： | 姚延娟,陈良富,柳钦火,刘强,杜永明,李小文.基于波谱知识库的MODIS叶面积指数反演及验证[J].遥感学报,2006,10(6):869-878. |
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| 作者姓名： | 姚延娟 陈良富 柳钦火 刘强 杜永明 李小文 |
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| 作者单位： | 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. 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;北京师范大学,遥感科学国家重点实验室,北京,100875 |
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| 基金项目： | 中国科学院知识创新工程重要方向项目（编号：KZCX3-SW-338）、国家自然科学基金（编号：NSFC40371087）、国家重点基础发展规划项目（编号：2000077903）资助. |
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| 摘 要： | 目前用物理模型反演叶面积指数普遍存在缺少先验知识的状况，如何获得准确的先验知识是遥感走向应用的一个关键环节。中国典型地物标准波谱数据库就是结合国家重大行业中的应用需求，研究制定地物波谱获取与分析的技术规范和数据标准，建立典型地物标准波谱数据库。从波谱数据库提取模型反演所需要的先验知识，实现了基于SAIL模型的MODIS数据（经过几何纠正与大气纠正）叶面积指数的反演。另外，基于TM数据，对MODIS混合像元进行了分解，用纯像元的叶面积指数与实测数据进行对比验证，同时，反演结果与NASA的LAI产品也进行了对比，结果表明基于波谱库的先验知识可以有效的提高叶面积指数的反演精度。
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| 关 键 词： | 波谱库 MODIS数据 叶面积指数 反演 |
| 文章编号： | 1007-4619(2006)06-0869-10 |
| 收稿时间： | 2005-08-26 |
| 修稿时间： | 2005-12-28 |
Inversion and Validation of Leaf Area Index Based on the Spectral & Knowledge Database Using MODIS Data |
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| YAO Yan-juan,CHEN Liang-fu,LIU Qin-huo,LIU Qiang,DU Yong-ming and LI Xiao-wen.Inversion and Validation of Leaf Area Index Based on the Spectral & Knowledge Database Using MODIS Data[J].Journal of Remote Sensing,2006,10(6):869-878. |
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| Authors: | YAO Yan-juan CHEN Liang-fu LIU Qin-huo LIU Qiang DU Yong-ming and LI Xiao-wen |
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| Institution: | 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; 2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Beijing Normal University, Beijing 100875, China |
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| Abstract: | It is feasible to retrieve LAI over large area from remote sensing data with physical models;however,it is quite difficult to get accurate LAI and thus limit the remote sensing application without enough prior knowledge due to the underdetermined parameters in the physical inversion models.A spectrum database system of typical objects in China(SpecLib) has been set up recently,which may provide a priori knowledge of typical land cover for LAI inversion.MODIS data is used to retrieve LAI after atmosphere correction,geometrical correction and cloud identification.The SAIL(Scattering by Arbitrarily Inclined Layers) model is applied for the inversion of LAI for MODIS data.The vegetation coverage of the mixed pixels of the MODIS data are calculated based on the TM data sets.The LAIs of pure pixels(computed from the retrieved LAIs and vegetation coverage) are compared with the field measurement data in Luancheng,Heibei Province,China.Meanwhile,the LAIs of pure pixels are also compared with the MODIS LAI data products.The inversion results show that the!SpecLib effectively improved the accuracy of leaf area index inversion. |
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| Keywords: | SpecLib moderate resolution imaging spectrometer(MODIS) leaf area index inversion |
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