Spatiotemporal Variation Characteristics and Trend Analysis of Vegetation Cover in Yingtan City from 1986 to 2023 Based on GEE
Vegetation,as a core component of terrestrial ecosystems,is a key indicator of ecological restoration.The study draws on Landsat remote sensing images from 1986 to 2023,utilizing the Google Earth Engine(GEE)cloud platform to calculate the annual average Normalized Difference Vegetation Index(NDVI).Additionally,the Theil-Sen trend estimation,Mann-Kendall trend test,and Hurst index analysis methods are employed alongside ArcGIS and MATLAB software to comprehensively analyze the spatiotemporal changes in vegetation coverage in Yingtan city,Jiangxi province of China over the past 38 years.The results indicate that vegetation cover in Yingtan city exhibits a"high in the north and south,and low in the middle"spatial distribution pattern,with an average NDVI of 0.517 over the 38-year period.Areas with increasing vegetation coverage account for 96.259%of the total area.Time series analysis reveals an overall fluctuating upward trend in vegetation coverage,with 97.266%of the area demonstrating a reversal from initial decline followed by subsequent increase.This suggests that,despite historical degradation,current vegetation coverage is improving,likely due to local vegetation restoration projects.The findings deepen the understanding of spatiotemporal changes in vegetation coverage in Yingtan city and hold significant practical value for ecological protection and sustainable development.
Google Earth EngineNDVIspatiotemporal variationtrend analysis
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