摘要
以大悟县为研究区,利用2010、2020年的Landsat系列遥感数据、提取绿度、干度、湿度、热度4个指标,通过主成分分析法建立遥感生态指数RESI,定量评价大悟县生态环境状况及其变化。研究表明,大悟县2010、2020年总体处于生态环境良好的等级,RESI均值分别为0.70、0.68,但从时间上看呈现减少的趋势,生态环境质量略微下降。2010年及2020年大悟县生态环境质量都以良等级为主,其面积所占比例达95.849%、93.916%;生态环境质量较差和差的等级所占面积比例均较小。2010年及2020年间大悟县生态等级产生了稍微的变化,变差的面积占比为3.235%;生态等级不变的占比为92.119%;生态等级变好的面积占比为4.645%。大悟县生态环境质量下降可能与人类活动导致的植被覆盖度下降与气温升高等有关。
Taking Dawu county as the study area,Landsat series remote sensing data from 2010 and 2020 were used to extract four indexes such as greenness index,dryness index,humidity index and heat index.And the remote sensing ecological index(RESI)was established by principal component analysis to quantitatively evaluate the ecological environment status and changes of Dawu county.The research showed that Dawu county was generally at the level of good ecological environment in 2010 and 2020,and the average RESI was 0.70 and 0.68 respectively,but it showed a decreasing trend in time,and the ecological environment quality decreases slightly.In 2010 and 2020,the ecological environment quality of Dawu county was mainly of good grade,and its area accounted for 95.849%and 93.916%;and the area proportion of poor and poor ecological environment quality was small.Between 2010 and 2020,the ecological grade of Dawu county changed slightly,and the deteriorated area accounted for 3.235%;the proportion of unchanged ecological grade was 92.119%;the area with better ecological grade accounted for 4.645%.The decline of ecological environment quality in Dawu county was probably related to the decline of vegetation coverage caused by human activities and the rise of temperature.
作者
黄锦彦
孙天成
马梓程
罗敏玄
贾凤鸣
张倩
Huang Jinyan;Sun Tiancheng;Ma Zicheng;Luo Minxuan;Jia Fengming;Zhang Qian(Changsha Natural Resources Comprehensive Investigation Center of China Geological Survey,Changsha 410000,China;Hubei Provincial Institute of Land,Surveying and Mapping,Wuhan 430000,China)
出处
《能源与环保》
2022年第8期57-63,共7页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
中国地质调查局项目(DD20208074)。
关键词
生态环境质量
遥感生态指数
主成分分析
大悟县
ecological environment quality
remote sensing ecological index
principal component analysis
Dawu County
