Evaluation of Ecological Environmental Quality and Analysis in Linhai City Based on GEE and Remote Sensing Ecological Index
The issue of ecological environment degradation has become increasingly prominent against the backdrop of rapid urbanization.Urban development is increasingly correlated with changes in the ecological environment.Linhai City,which experienced rapid urbanization after the availability of high-resolution satellite imagery,was selected as a typical study area.Through the Google Earth Engine cloud computing platform,and utilizing Landsat5 and Landsat8 remote sensing data from 2000 to 2020,a remote sensing ecological index(RSEI)was constructed and analyzed using correlation,spatial au-tocorrelation,and geographic detector methods.The results show the average RSEI in the City decreased from 0.74 in 2000 to 0.64 in 2020,indicating a decline in overall ecological quality over 20 years,though the ecological grades remain primarily excellent and good.The global Moran's Ⅰ index values were consistently greater than 0.3 and increased over time,showing high clustering and significant spatial correlation in ecological quality both globally and locally.There is an increasing trend in"low-low"clustering areas over the 20 years.The primary factors influencing the ecological quality in are topography and land use.Human activities significantly affect the spatial distribution of ecological quality through dual-factor interac-tions.This study integrated long-term,high-resolution remote sensing data,combining emerging remote sensing computation tools such as Google Earth Engine,ArcGIS,and geographic detector tools.It demonstrates the applicability of the RSEI,con-ducting spatiotemporal change clustering analysis and attributing the primary influencing factors of ecological environment changes in the area.
Google Earth Engineremote sensing ecological indexgeographical detectorseco-environmental qualityLinhai City
万方数据
维普
