基于多时相RSEI的生态环境质量评价——以新民市为例
Eco-environmental quality evaluation based on multi-temporal RSEI:A case study in Xinmin City
王井利 1余鹏程 1蔡福 2刘慧楠 1高天娇1
作者信息
- 1. 沈阳建筑大学,沈阳 110168
- 2. 中国气象局沈阳大气环境研究所,沈阳 110166
- 折叠
摘要
以辽宁省新民市作为研究对象,基于2014年、2017年、2020年的相近月份(5-6月)Landsat 8 OLI_TRIS数据,提取4个生态因子[绿度(NDVI)、湿度(WET)、干度(NDBSI)、热度(LST)],采用主成分分析法构建遥感生态指数(RSEI),对研究区域生态环境质量时空演变特征进行评价.结果表明,2014年、2017年、2020年新民市RSEI的均值分别为0.397、0.348、0.506,呈先降后升的趋势.2014-2020年,生态环境质量等级为差和较差的区域主要分布在西北区域,面积占比由62.5%降至33.2%;生态环境质量等级为较好和好的区域主要分布在东南区域,面积占比呈明显的先降低后升高趋势,由21.3%先下降到18.4%后上升到37.0%.4个因子中绿度和湿度对生态环境质量起到正面作用,其中湿度的正面影响较为显著;干度和热度起到负面作用,其中干度的负影响较为显著.
Abstract
Taking Xinmin City of Liaoning Province as the research object,based on the Landsat 8 OLI_TRIS data of similar months(May to June)in 2014,2017 and 2020,four ecological factors[greenness(NDVI),humidity(WET),dryness(NDBSI),heat(LST)]were extracted,and the remote sensing ecological index(RSEI)was constructed by principal component analysis to evaluate the spatial and temporal evolution characteristics of eco-environment quality in the study area.The results showed that the regional mean values of RSEI in Xinmin City in 2014,2017 and 2020 were 0.397,0.348 and 0.506 respectively,showing a trend of first de-creasing and then increasing.From 2014 to 2020,the areas with poor eco-environmental quality and relatively poor eco-environmen-tal quality were mainly distributed in the northwest region,and the area ratio decreased from 62.5%to 33.2%.The areas with relatively good eco-environmental quality and good eco-environmental quality were mainly distributed in the southeast,and the proportion of ar-ea showed an obvious trend of first decreasing and then increasing,from 21.3%to 18.4%and then rising to 37.0%.Among the four fac-tors,greenness and humidity played a positive role in the quality of eco-enviroment,and the positive effect of humidity was generally more significant;dryness and heat played a negative role,and the negative effect of dryness was more significant.
关键词
生态环境质量/Landsat8/OLI_TRIS/遥感生态指数(RSEI)/主成分分析/新民市Key words
eco-environmental quality/Landsat 8 OLI_TRIS/remote sensing ecological index/principal component analysis/Xin-min City引用本文复制引用
基金项目
中国气象局沈阳大气环境研究所联合开放基金(2021SYIAEKFZD05)
国家重点研发计划(2017YFD0301704)
国家重点研发计划(2016YFD0300307)
公益性行业科研专项(20150312705)
出版年
2024
NETL
NSTL
万方数据