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    遥感生态指数(RSEI)模型及应用综述

    Remote sensing ecological index (RSEI) model and its applications: A review

    • 摘要: 在“双碳”背景下,开展遥感生态评价与监测分析对于及时掌握生态状况、制定科学合理的生态保护政策具有重要作用。早期遥感生态评价指标单一、过程复杂。遥感生态指数(remote sensing ecological index, RSEI)实现了生态评价效率的提高,得到广泛应用。为深入理解RSEI,文章阐述了该指数的产生背景,介绍了RSEI的计算方法及研究现状,归纳了指数存在的问题及区域适应性调整措施,并对RSEI主要应用方向,即区域生态评价和区域生态变化监测进一步分析,最后指出,未来RSEI虽有广阔发展空间,却仍需围绕影像时空尺度、存储和批处理能力、模型自适应、智能化等方面进行研究。

       

      Abstract: 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.

       

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