基于遥感生态指数的祖厉河流域生态环境变化特征分析OA

Using Landsat series satellite imagery data,this study constructed a remote sensing ecological index(RSEI)by integrating remote sensing indicators including greenness,wetness,dryness,and salinity to analyze the spatiotemporal evolution and spatial heterogeneity characteristics of the ecological environment in the Zuli River Basin from 2001 to 2021.The results of principal component analysis showed that the variance contribution rates of the first principal component for the four indicators(greenness,wetness,dryness,and salinity)in 2001,2007,2014,and 2021 all exceeded 80%,indicating that the first principal component effectively captured most of the characteristic information of these indicators throughout the study period.The results demonstrated that the mean RSEI values in the basin were 0.316,0.307,0.468,and 0.662 in 2001,2007,2014,and 2021 respectively,exhibiting a trend of initial decline followed by an increase.During the research period,the area with"good"ecological environment quality grade gradually expanded,accounting for 96.75%of the total basin area in 2021,while the"poor"grade area progressively decreased.Spatially,regions with"excellent"ecological quality were primarily distributed in river valleys and upstream mountainous areas in the southwestern part of the basin,whereas areas with inferior ecological conditions were mainly concentrated in northern mountainous regions.In conclusion,the Zuli River Basin has achieved significant improvement in overall ecological environment quality during the study period.This study provides a reference for further optimizing ecological environment protection strategies in the area.