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
陈宜欣 1宁晓刚 1张翰超 1兰小强 2常中兵3
作者信息
- 1. 自然资源部华南热带亚热带自然资源监测重点实验室,广州 510670;中国测绘科学研究院,北京 100036
- 2. 自然资源部华南热带亚热带自然资源监测重点实验室,广州 510670;自然资源部信息中心,北京 100036
- 3. 自然资源部华南热带亚热带自然资源监测重点实验室,广州 510670;广东省国土资源测绘院,广州 510500
- 折叠
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.
关键词
RSEI/模型改进/应用分析/区域生态评价/区域生态变化监测Key words
RSEI/model improvement/application analysis/regional ecological assessment/regional ecological change monitoring引用本文复制引用
基金项目
自然资源部华南热带亚热带自然资源监测重点实验室开放基金课题(2022NRMZ01)
出版年
2024
国家科技期刊平台
NSTL
万方数据