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[1]HE Lei,TANG Shu-ya,MIAO Fang,et al.Remote Sensing Model and Inversion of Leaf Area Index in the Typical Area of Minjiang Valley Upriver[J].Research of Soil and Water Conservation,2010,17(01):218-221.

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Remote Sensing Model and Inversion of Leaf Area Index in the Typical Area of Minjiang Valley Upriver

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 17 Number of periods: 2010 01 Page number: 218-221 Column: Public date: 2010-02-20

Title:: Remote Sensing Model and Inversion of Leaf Area Index in the Typical Area of Minjiang Valley Upriver

Author(s):: HE Lei¹, TANG Shu-ya², MIAO Fang¹, LI Yu-xia³; 1. College of Earth Science, Chengdu University of Technology, Chengdu, 610059, China;
2. Institute of Relief Disaster Reduction, Sichuan Earthquake Administration, Chengdu, 610041, China;
3. Institute of Geo-Spatial Information Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China

Keywords:: remote sensing inversion; vegetation coverage; vegetation index(Ⅵ); spatial analysis

CLC:: S314;TP79

DOI:: -

Abstract:: Leaf Area Index(LAI) is the main parameter in quantifying vegetation by means of remote sensing.The temporal variation in LAI is indicative of the evolution process of regional ecology.Vegetation index(VI) has been used widely formodeling vegetation.The applicability of the established models is subject to the local climate in different regions.It is thusnecessary to examine how the derived VI reacts to the change in climate.The paper constructs leaf area indexmodels in the typical area of minjiang valley upriver,based on the measuring and exploring in the field and research on the orientation observation,by utilizing the ETM and ASTER remote sensing data,measured data and routine observation data.Studying the relevance between vegetation index and leaf area index,it makes one pixel of the remote sensing images as the calculating unit,and calculates the vegetation index,then inverses leaf area indexin the Maoergai region of minjiang valley.Using the measured data in the research area,the remote sensing data in the ecosystem and the hydrometeor data,the paper validates and analyzes precisely the remote sensing inversion result about the model.The results show that the precision of the inversion model is better,which can reflect the true condition of the leaf area index in the research area.

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