基于遥感生态指数的霍林河矿区生态修复变化分析  

Analysis of Ecological Restoration Change in Huolinhe Mining Area Based on Remote Sensing Ecological Index

作　　者：李伟[1,2] 李思慧 金鑫[3] LI Wei;LI Sihui;JIN Xin(Tongliao Meteorological Bureau,Tongliao 028000,China;High Resolution Satellite Tongliao Branch Center in Inner Mongolia,Tongliao 028000,China;Huolingol Meteorological Bureau,Tongliao 029200,China)

机构地区：[1]通辽市气象局,内蒙古通辽028000 [2]高分卫星内蒙古通辽分中心,内蒙古通辽028000 [3]霍林郭勒市气象局,内蒙古通辽029200

出　　处：《现代信息科技》2023年第9期137-140,145,共5页Modern Information Technology

基　　金：内蒙古自治区科技计划项目(2020GG0254)。

摘　　要：基于遥感生态指数(RSEI)方法,对2016—2022年霍林河矿区生态指数变化进行分析,从而为矿区生态修复提供科学依据。应用2016—2022年Landsat 8数据,提取绿度(NDVI)、湿度(WET)、干度(NDBSI)和热度(LST)4项指标,运用主成分分析方法构建遥感生态指数(RSEI)。结果表明绿度和湿度与RSEI正相关,干度、热度与RSEI负相关;自2018年开始霍林河矿区遥感生态指数(RSEI)明显提升;生态修复治理区域即排土场区域遥感生态指数(RSEI)提升最为显著,生态修复效果明显。Based on the Remote Sensing Ecological Index(RSEI)method,this paper analyzes the ecological index changes in Huolinhe mining area from 2016 to 2022,so as to provide a scientific support for the ecological restoration of the mining area.The Landsat 8 data from 2016 to 2022 are used to extract four indicators,such as NDVI,WET,NDBSI and LST.The Remote Sensing Ecological Index(RSEI)is constructed by using the principal component analysis method.The results show that NDVI and WET are positively correlated with RSEI,while NDBSI and LST are negatively correlated with RSEI.Since 2018,the RSEI of Huolinhe mining area has improved significantly.The RSEI of ecological restoration and management area,namely waste disposal site,has improved the most significantly,and the ecological restoration has achieved obvious effect.

关 键 词：遥感生态指数 主成分分析 生态质量 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] X87[自动化与计算机技术—计算机科学与技术]