| 基于冠层反射和植被指数的华东地区叶面指数反演 |
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| 引用本文： | 蒋建军,陈锁忠,曹顺仙,WU Hongan,ZHANG Li,Zhang Hailong.基于冠层反射和植被指数的华东地区叶面指数反演[J].地理学报(英文版),2005,15(2):247-254. |
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| 作者姓名： | 蒋建军 陈锁忠 曹顺仙 WU Hongan ZHANG Li Zhang Hailong |
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| 作者单位： | 1.College of Geographical Science，Nanjing Normal University，Nanjing 210097，China;2.College of Humanities and Social Science，Nanjing Forestry University，Nanjing 210037，China |
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| 基金项目： | 国家自然科学基金;中国科学院知识创新工程项目 |
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| 摘 要： | 1 IntroductionLeaf A rea Index (LA I), defined as half the all-sided leaf or needle surface per unit groundsurface (Chen and Black,1992),is an im portantparam eter to quantify leaf density and m onitorvegetation change.A tthe sam e tim e,LA I is also an i…
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| 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 |
| 收稿时间： | 14 December 2004 |
Leaf area index retrieval based on canopy reflectance and vegetation index in eastern China |
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| Jianjun Jiang,Suozhong Chen,Shunxian Cao,Hongan Wu,Li Zhang,Hailong Zhang.Leaf area index retrieval based on canopy reflectance and vegetation index in eastern China[J].Journal of Geographical Sciences,2005,15(2):247-254. |
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| Authors: | Jianjun Jiang Suozhong Chen Shunxian Cao Hongan Wu Li Zhang Hailong Zhang |
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| Institution: | College of Geographical Science, Nanjing Normal University, Nanjing 210097, China;College of Humanities and Social Science, Nanjing Forestry University, Nanjing 210037,China |
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| Abstract: | 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 vegetation index (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 R2 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. |
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| Keywords: | Landsat TM Leaf Area Index (LAI) vegetation indices retrieval model Taihu Lake |
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