遥感生态指数(RSEI)模型及应用综述OA北大核心CSTPCD

In the context of achieving peak carbon dioxide emissions and carbon neutrality,conducting a remote sensing-based ecological assessment and monitoring analysis is greatly significant for ascertaining the ecological condition in time and formulating scientific and reasonable ecological protection policies.The early remote sensing-based ecological assessment indices,simple and involving complex processes,are difficult to find wide applications.In contrast,the remote sensing ecological index(RSEI),contributing to elevated assessment efficiency,has been extensively used.To gain a deeper understanding of RSEI,this study describes its background,calculation method,and research status and provides a summary of the current issues and regional adjustments.Furthermore,it analyzes the main application directions of RSEI,namely the in-depth analyses of regional ecological assessment and change monitoring.Finally,the study proposes that despite a broad space for RSEI development,it is necessary to conduct research into the spatiotemporal scales of images,storage and batch processing capabilities,model adaption,and intelligentization.