Research on the Temporal and Spatial Dynamic Changes of Vegetation Coverage in Kashgar City from 1995 to 2020

In order to reveal and discuss the spatial dynamics and driving factors of vegetation coverage in Kashgar,Landsat series satellite data is used as the data source,based on the Normalized Differente Vegetation Index（NDVI）and pixel dichotomy model,ENVI 5.3 and ArcGIS 10.3 software is used to estimate the vegetation coverage of Kashgar,and the vegetation coverage from 1995 to 2020 is studied.The research results show that:（1） The overall vegetation in Kashgar is mainly high vegetation coverage,and the medium and low vegetation coverage are relatively fragmented and distributed around the high vegetation coverage in the farmland protection forests around the city center and on both sides of the rural road；（2） From 1995 to 2020,the vegetation coverage and coverage area of Kashgar City showed an increasing trend. In 2020,the vegetation coverage area increased by 172.6 km2 compared with 1994,an increase of 36.3%.（3） The regional and timebased improvement and degradation of vegetation coverage in Kashgar will coexist. In terms of time period,the degradation is obvious from2010 to 2015,and the area of improvement was the largest from 2015 to 2020. Regionally,the urban area is the most degraded,and the four townships in the east have improved the most. The total and high vegetation coverage centroids move linearly to the four townships in the east by 6.39 km and 8.69 km,the migration speed of the above two centroids accelerated significantly from 2010 to 2020；（4） The increase in precipitation and temperature in Kashgar City,combined with the acceleration of urbanization and frequent human activities are the main reasons for the changes in vegetation coverage in recent years. Among them,the increase in the area of forest land and arable land contribute the most to vegetation coverage. It can be seen that this paper can provide a scientific reference for the ecological environment and sustainable development of Kashgar.