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摘要： 植被覆盖度是城市生态环境评价的一个重要指标。针对亚热带城市异质植被覆盖特征,选择像元尺度的植被指数(NDVI)转换模型、亚像元尺度的植被—土壤两端元模型(V-S Model)和植被—高—低反射率三端元模型(V-H-L Model) 在TM影像上估算植被覆盖度,并结合野外实地调查对比验证3种模型的估算精度及其适用性。结果表明模型尺度和背景亮度对植被覆盖度估算有着不同程度的影响。NDVI转换模型整体高估覆盖度为27%,V-S模型和V-H-L模型整体低估覆盖度分别为23%和5%;验证结果证明:NDVI转换模型对高密度(＞60%)植被的估算结果最好,低估4%;V-H-L模型对中密度(40%~60%)和低密度(＜40%)植被的估算结果最优,仅低估2%,并受背景亮度的影响最小。因此,NDVI转换模型适用于高密度植被覆盖度的估算,亚像元尺度下的V-S模型和V-H-L模型适用于低、中密度植被覆盖度的估算,并以V-H-L模型估算较为准确。 关键词： 植被覆盖度;  植被指数转换模型;  两端元模型;  三端元模型;  亮度;  植被覆盖度;  植被指数转换模型;  两端元模型;  三端元模型;  亮度     Abstract: Vegetation coverage is an important index to evaluate urban ecological environment.For the subtropical urban/suburb heterogeneous vegetation cover characteristics,this study selected NDVI Transform Model on the pixel scale,Vegetation\|Soil components Model (V-S Model) and Vegetation\|High albedo-Low albedo components Model (V-H-L Model) on sub\|pixel scale to estimate urban vegetation coverage of Guangzhou,and then compared the estimate precision of three models with the field survey data.The results show that scale of the model and brightness of background have different influence on vegetation estimation.NDVI Transform Model overestimates vegetation coverage is 27%,while V-S Model and V-H-L Model underestimate vegetation coverage are 23% and 5% on the overall estimation respectively.However,NDVI Transform Model has the best performance for high density(＞60%) vegetation areas with underestimating vegetation coverage is 4%,while V\|H\|L Model has the optimal estimation for medium (40%~60%) and low(＜40%) density vegetation areas,only underestimating is 2%.And the influence of background brightness is the smallest.Thus,NDVI Transform Model fits to estimate the vegetation coverage on high density vegetation areas,while V\|S Model and V-H-L model are suitable for low and medium density Vegetation coverage estimation in which V-H-L Model is the most optimal one.

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