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遥感生态指数(RSEI)模型及应用综述

陈宜欣 宁晓刚 张翰超 兰小强 常中兵

自然资源遥感2024,Vol.36Issue(3):28-40,13.
自然资源遥感2024,Vol.36Issue(3):28-40,13.DOI:10.6046/zrzyyg.2023128

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

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

分类

信息技术与安全科学

引用本文复制引用

陈宜欣,宁晓刚,张翰超,兰小强,常中兵..遥感生态指数(RSEI)模型及应用综述[J].自然资源遥感,2024,36(3):28-40,13.

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"基于先验知识的耕地至园林草地的变化检测"(编号:2022NRMZ01)资助. (编号:2022NRMZ01)

自然资源遥感

OA北大核心CSTPCD

2097-034X

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