摘要
针对目前矿区生态景观修复方法的修复效果较差,提出了高分辨率遥感数据分析下的矿区生态景观修复研究方法,为了消除高分辨率遥感影像中存在的阴影,对其实施校正处理。采用核主成分分析方法处理校正后的高分辨率遥感影像,获取矿区生态景观的实际情况,评估矿区生态景观,根据评估结果采用相应的方法修复矿区生态景观。试验结果表明,所提方法修复后矿区的聚合度、最大斑块指数、斑块结合度指数和香农多样性指数有所提高,表明所提方法具有较好的修复效果。
In view of the poor restoration effect of the current ecological landscape restoration methods in mining areas,a research method of ecological landscape restoration in mining areas under the analysis of high-resolution remote sensing data is proposed.In order to eliminate the shadow in high-resolution remote sensing images,correction processing is implemented.The nuclear principal component analysis method is used to process the corrected high-resolution remote sensing images,obtain the actual situation of the ecological landscape of the mining area,evaluate the ecological landscape of the mining area,and adopt corresponding methods to repair the ecological landscape of the mining area according to the evaluation results.The test results show that the aggregation degree,maximum patch index,patch association index and Shannon diversity index of the mining area have been improved after the proposed method is repaired,indicating that the proposed method has a good repair effect.
作者
裴晓阳
Pei Xiaoyang(Yulin University,Yulin 719000,China)
出处
《能源与环保》
2022年第7期43-47,共5页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
陕西省榆林市高新科学技术局产学研项目阶段性成果(CXY-2021-74)。
关键词
高分辨率遥感数据
阴影校正
核主成分分析方法
矿区生态景观
景观修复
high-resolution remote sensing data
shading correction
nuclear principal component analysis method
ecological landscape of mining area
landscape restoration
