Based on the Google Earth Engine (GEE) platform, this study obtained Landsat5 TM and Landsat8 OLI/TIRS remote sensing images, and extracted Normalized Difference Vegetation Index (NDVI) across Jiawang coal mining subsidence areas, Xuzhou. Then, the dimidiate pixel model and unitary linear recursive analysis were used to estimate the vegetation coverage and recognize the characteristics of time series variation from 2010-2021 for Jiawang coal mining subsidence areas, thus evaluating the effect of vegetation restoration. The results showed: With the conducting of three steps of vegetation restoration in Jiawang coal mining subsidence areas, Xuzhou, the vegetation coverage generally showed an increased trend, and the significantly increased areas accounted for 39.21% of the total areas. The area of middle and high vegetation coverage accounted for 61.66% in 2021. The vegetation restoration has achieved good results, and the ecological environment has continuously improved. From a spatial perspective, high vegetation coverage area was mainly distributed in southwest and southeast coal mining subsidence areas. For the middle, northwest and northeast areas, vegetation restoration work is still needed.
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