摘要
为进一步探究精准高效矿山动态监测,以某矿区的实际情况为研究案例,依据基础数据选用IKONOS卫星的遥感数据为主要数据来源,应用聚类分析方法对处理后的遥感数据进行特征信息分析,得到特征数据信息的提取结果,2020—2022年,整体的图斑面积和图斑个数均呈现一定的增长态势。其中,2021年的图斑面积与2020年相比,增长约1.58 hm^(2),增长率约为4.67%;2022年的图斑则相较于2021年进一步增长约1.68 hm^(2),增长率约为4.73%。从研究时间跨度来看,3年的平均环比增长率为4.7%。通过对矿区的研究资料进行综合对比后,基于遥感影像的动态监测结果与实际结果基本不存在显著差异,证明了该研究方法的有效性。
To further explore the accurate and efficient dynamic monitoring of mines,taking the actual situation of a certain mining area as a research case,IKONOS satellite remote sensing data was selected as the main data source based on basic data.Cluster analysis method was applied to analyze the feature information of the processed remote sensing data,and the extraction results of feature data information were obtained.From^(2)020 to 2022,the overall area and number of patches showed a certain growth trend.Among them,the patch area in 2021 increased by about 1.58 hm^(2)compared to 2020,with a growth rate of about 4.67%;the patch size in 2022 increased by approximately 1.68 hm^(2)compared to 2021,with a growth rate of about 4.73%.In terms of the study time span,the average,three-year,month-on-month growth rate was 4.7%.After the comprehensive comparison of the research data in the mining area,there was no significant difference between the dynamic monitoring results based on remote sensing images and the actual results,so the effectiveness of this research method was proved.
作者
李涛
Li Tao(Henan Province No.4 Geological Brigade Co.,Ltd.,Zhengzhou 450000,China)
出处
《能源与环保》
2024年第7期136-141,共6页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
河南省自然资源科研项目([2021]157-12)。
