Vegetation coverage is the one of the important indicators to measure the surface vegetation and ecosystem situation,it is the necessary premise and foundation for ecosystem health assessment.Taking the TM remote sensing images of two time phases( the year of 2010 and 2014 )as the data source,and taking the normalized differential vegetation index(NDVI)pixel dichotomy as the estimation model of vegetation coverage,the vegetation coverage(for nearly five years)of Xiangning mining area of Jinzhong coal base was calculated,and the vegetation coverage distribution image and vegetation coverage changing image were generated for different time sequences, so that the temporal and spatial variation of vegetation coverage for Xiangning mining area could be analyzed.The results showed that,in 2010~2014,the vegetation coverage of Xiangning mining area showed a degradation trend,the vegetation coverage degradation area accounted for 33.38% of the whole area,and the percentage of vegetation coverage improving area was only 4. 34%. From the aspect of space, we could see that the vegetation coverage degradation was mainly in the coal mining areas,therefore,the change of vegetation coverage of coal mining area could be calculated through remote sensing method, and through this method, the ecological and environmental effects caused by coal development could be evaluated.%利用2010年和2014年2个时相的 TM 遥感影像为数据源，以归一化植被指数（NDVI）像元二分法为植被覆盖度估算模型，计算了晋中煤炭基地乡宁矿区近5年的植被覆盖度，生成了不同时序的植被覆盖度分布图和植被覆盖度变化图，以此分析乡宁矿区植被覆盖度的时空变化。结果表明，乡宁矿区在2010年～2014年其植被覆盖度呈退化趋势，整个矿区植被覆盖退化面积占总面积的33.38％，而植被覆盖改善面积仅占总面积的4.34％。从空间上来看，植被退化主要集中在煤炭开采区，因此可通过遥感手段计算煤炭矿区植被覆盖度的变化以评价煤炭开发而引起的生态环境效应。
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