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基于PROSPECT+SAIL模型的遥感叶面积指数反演
引用本文:蔡博峰,绍霞.基于PROSPECT+SAIL模型的遥感叶面积指数反演[J].国土资源遥感,2007,18(2):39-43.
作者姓名:蔡博峰  绍霞
作者单位:1. 中国科学院遥感应用研究所,北京,100101;北京市环境保护科学研究院,北京,100037
2. 北京市环境保护科学研究院,北京,100037
基金项目:北京市政府和北京市环保局共同资助项目
摘    要:以PROSPECT+SAIL模型为基础,从物理机理角度反演植被叶面积指数(LAI)。首先,通过FLAASH模型进行大气校正,使得图像像元值表达植被冠层反射率; 然后,根据LOPEX 93数据库和JHU光谱数据库选择植物生化参数和光谱数据,以PROSPECT模型模拟出的植物叶片反射率和透射率作为SAIL模型的输入参数,得到植被冠层反射率,将结果与遥感影像的植被冠层反射率对应,回归出植被LAI; 最后,以地面实测数据对遥感反演数据进行验证,并分析了误差的可能来源。

关 键 词:,PROSPECT+SAIL模型,LAI,大气校正,植物生化参数
文章编号:1001-070X(2007)02-0039-04
收稿时间:2006-12-05
修稿时间:2006-12-052007-04-17

LEAF AREA INDEX PETRIEVAL BASED ON REMOTELY SENSED DATA AND PROSPECT+SAIL MODEL
CAI Bo-feng,SHAO Xia.LEAF AREA INDEX PETRIEVAL BASED ON REMOTELY SENSED DATA AND PROSPECT+SAIL MODEL[J].Remote Sensing for Land & Resources,2007,18(2):39-43.
Authors:CAI Bo-feng  SHAO Xia
Institution:1. Institute of Remote Sensing Applications, Chinese Academy of Seiences, Beifing 100101 ,China; 2. Beifing Municipal Research Academy of Environmental Protection, Beijing 100037, China
Abstract:Based on simulations using the SAIL bidirectional canopy reflectance model coupled with the PROSPECT leaf optical properties model,the authors have obtained the vegetation LAI.The FLAASH model is used to ensure the accuracy of atmospheric correction.The LOPEX93 database and the JHU spectral library are employed to identify the input value of the model.The canopy reflectance is the key node to relate the PROSPECT+SAIL model and the remote sensing data,and hence the LAI can be retrieved from leaf biochemical properties,LAD and remote sensing data.In situ measurements of LAI are used to test the simulation results,and the error sources are analyzed.
Keywords:PROSPECT+SAIL model  LAI  Atmospheric correction  Leaf biochemical properties
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