利用陆地卫星增强型专题绘图仪（ETM+）影像反演中国兴国县针叶林叶面积指数
Retrieving leaf area index for coniferous forest in Xingguo County, China with Landsat ETM+ images.
作者信息
Tian Q, Luo Z, Chen J M, Chen M, Hui F
机构信息
International Institute for Earth System Sciences, Nanjing University, 210093, China.
出版信息
J Environ Manage. 2007 Nov;85(3):624-7. doi: 10.1016/j.jenvman.2006.05.021. Epub 2006 Dec 13.
Spatial distributions of the leaf area index (LAI) needed for carbon cycle modeling in Xingguo County, China were estimated based on correlations between the field-measurements and vegetation indices (VIs). After making geometric and atmospheric corrections to two Landsat ETM+ images, one in January 2000 and the other in May 2003, three VIs (SR, NDVI, and RSR) were derived, and their separate correlations with ground LAI measurements were established. The correlation with RSR was the highest among the three VIs. The retrieved LAI values for January 2000 were lower than those for May 2003 because of a small seasonal variation in the coniferous forests (predominantly masson pine) and the decrease in the understorey vegetation during winter.
基于实地测量与植被指数（VI）之间的相关性，估算了中国兴国县碳循环建模所需的叶面积指数（LAI）的空间分布。对2000年1月和2003年5月的两幅陆地卫星ETM +图像进行几何和大气校正后，得出了三个植被指数（SR、NDVI和RSR），并建立了它们与地面LAI测量值的单独相关性。在这三个植被指数中，与RSR的相关性最高。由于针叶林（主要是马尾松）的季节性变化较小以及冬季林下植被的减少，2000年1月反演得到的LAI值低于2003年5月的LAI值。
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