Leaf area index retrieval based on canopy reflectance and vegetation index in easternChina

编号 zgly0000376242

文献类型 期刊论文

文献题名 Leaf area index retrieval based on canopy reflectance and vegetation index in easternChina

作者 JIANGJianjun  CHENSuozhong  CAOShunxian  WUHongan  ZHANGLi  ZHANGHailong 

作者单位 CollegeofGeographicalScience  CollegeofHumanitiesandSocialScience 

母体文献 Journal of Geographical Sciences;地理学报: 英文版 

年卷期 2005,15(2)

页码 247-254

年份 2005 

分类号 P343.3  X171.1 

关键词 地球资源卫星  太湖  植被指数  生态恢复模型  叶面积指数 

文摘内容 The aim of this paper is to investigate the feasibility of using Landsat TM data to retrieve leaf area index (LAI). To get a LAI retrieval model based ground reflectance and vegetation index,detailed field data were collected in the study area of eastern China, dominated by bamboo, tea plant and greengage. Plant canopy reflectance of Landsat TM wavelength bands has been inversed using software of 6S. LAI is an important ecological parameter. In this paper, atmospheric corrected Landsat TM imagery was utilized to calculate different vegetation indices (Ⅵ), such as simple ratio vegetationin dex (SR), shortwave infrared modified simple ratio (MSR), and normalized difference vegetation index (NDⅥ). Data of 53 samples of LAI were measured by LAI-2000 (LI-COR) in the study area.LAI was modeled based on different reflectances of bands and different vegetation indices from Landsat TM and LAI samples data. There are certainly correlations between LAI and the reflectance of TM3, TM4, TM5 and TM7. The best model through analyzing the results is LAI = 1.2097*MSR+0.4741 using the method of regression analysis. The result shows that the correlation coefficient R^2 is 0.5157, and average accuracy is 85.75%. However, whether the model of this paper is suitable for application in subtropics needs to be verified in the future。