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基于Prospect,Liberty和Geosail模型的森林叶面积指数的反演
引用本文:李海洋,范文义,于颖,杨曦光.基于Prospect,Liberty和Geosail模型的森林叶面积指数的反演[J].林业科学,2011,47(9).
作者姓名:李海洋  范文义  于颖  杨曦光
作者单位:东北林业大学林学院,哈尔滨,150040
基金项目:国家林业局“948”项目(2011-04-80)
摘    要:针对传统的统计模型方法反演叶面积指数(LAI)具有不稳定、区域不统一性的缺点,本研究从物理机制角度出发,以Prospect,Liberty和Geosail模型为基础,建立查找表从TM影像上反演LAI,并与TRAC实测的LAI比较。结果表明:基于机制模型与查找表的方法反演的LAI与实测的LAI有较好的一致性,实测精度达到83.7%。

关 键 词:叶面积指数  TM  查找表  Prospect  Liberty  Geosail  

Leaf Area Index Retrieval Based on Prospect,Liberty and Geosail Models
Li Haiyang,Fan Wenyi,Yu Ying,Yang Xiguang.Leaf Area Index Retrieval Based on Prospect,Liberty and Geosail Models[J].Scientia Silvae Sinicae,2011,47(9).
Authors:Li Haiyang  Fan Wenyi  Yu Ying  Yang Xiguang
Institution:Li Haiyang Fan Wenyi Yu Ying Yang Xiguang(Forest College,Northeast Forestry University Harbin 150040)
Abstract:Leaf area index(LAI) is a key forest structural parameter which plays an important role in controlling the exchange and cycle process of maters and energy in land ecosystem.Because of the disadvantages of unstable and various statistical models for LAI retrieval,this paper presents a new method of LAI retrieval from TM images based on the Geosail bidirectional canopy reflectance model coupled with the Prospect and Liberty leaf optical properties model and look-up-table.Compared with the LAI measurements by ...
Keywords:leaf area index(LAI)  TM  look-up-table  Prospect  Liberty  Geosail  
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