摘要
构建遥感生态指数可以更加直接、全面而精确地评价区域生态环境质量的演变特性。本研究以贵阳市为例,通过选择2008年landsat 5 TM和2018年landsat 8 OLI遥感影像计算绿度指标、湿度指标、干度指标及热度指标来构建遥感生态指数模型,引入主成分分析方法对贵阳市的生态环境质量演变特性作出评估。结果表明,2008年至2018年,RSEI均值由原来的0.544 0增长至0.759 1,生态环境质量变好;生态环境质量等级为极差和差的区域面积比例下降了26.56%;贵阳市的西部、南部和东部地区的生态环境质量有一定程度改善,归功于该市近年来的生态文明建设。
The construction of remote sensing ecological index can more directly, comprehensively and accurately evaluate the evolution characteristics of regional ecological environment quality.The study takes Guiyang as an example, the remote sensing ecological index model is constructed by selecting 2008 landsat 5TM and 2018 landsat 8 OLI remote sensing images to calculate green index, humidity index, dryness index and heat index. The change characteristics of eco-environmental quality in Guiyang were evaluated by principal component analysis. The results show that from 2008 to 2018, the average rsei increased from 0.544 0 to 0.759 1, the ecological and environmental quality has been improved. The proportion of areas with extremely poor and poor eco-environmental quality decreased by 26.56%. The ecological environment quality in the west, south and east of Guiyang has improved to a certain extent, thanks to the construction of ecological civilization in Guiyang in recent years.
作者
文诗雅
朱大明
付志涛
菅永胜
江佳雯
Wen Shiya;Zhu Daming;Fu Zhitao;Jian Yongsheng;Jiang Jiawen(School of Land and Resources Engineering,Kunming University of Science and Technology,Kunming 650093,China)
出处
《国土与自然资源研究》
2023年第2期51-54,共4页
Territory & Natural Resources Study
基金
国家自然科学基金(41961053)。
关键词
遥感生态指数
生态环境质量
主成分分析
生态文明建设
遥感影像
remote sensing ecological index
ecological environment quality
principal component analysis
ecological civilization constructio
remote sensing image