Analysis of spatio-temporal changes and driving factors of vegetation cover in Fuzhou City based on NDVI
Based on Landsat remote sensing images from 2000,2009,and 2020,the normalized difference vegetation index(NDVI)was retrieved to analyze the vegetation cover changes in Fuzhou City in the past 20 years from both spatial and temporal perspectives.The spatial autocorrelation analysis tool was used to reveal the spatial distribution pattern and cluste-ring pattern of NDVI in Fuzhou City,and the GWR model was used to explore the driving mechanism of vegetation cover in Fuzhou City.The results indicate that the lower NDVI is mainly distributed in the urban area of Fuzhou,the eastern coastal area,and the hilly areas of Minqing County and Lianjiang County.During the two study periods,the area of degradation was slightly larger than the area of improvement,indicating a decrease in vegetation cover in the study area.At the 1 000 m×1 000 m scale,the spatial clustering of NDVI is mainly composed of high-high clustering and low-low clustering.low-low clustering is mainly distributed in the urban area of Fuzhou and the eastern coastal area,while high-high clustering is main-ly distributed in high mountains and hilly areas far from the administrative centers of various districts and counties.The GWR model can effectively reveal the driving mechanism of elevation and slope factors on vegetation coverage in Fuzhou City.The higher the altitude and slope,the better the vegetation coverage.
NDVIFuzhou CityVegetation coverageSpatial autocorrelationGWR model
NETL
NSTL
万方数据
