首页|基于雷达及光学遥感的煤矿地面沉降监测识别研究

基于雷达及光学遥感的煤矿地面沉降监测识别研究

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为进一步分析煤矿开采造成的地面沉降问题的更多信息,以盐边红果煤矿集中区地面沉降问题为研究案例.首先,基于Sentinel-1A卫星影像数据及DEM高程数据,应用雷达遥感技术,对研究区域内煤矿地面沉降特征进行监测识别,明确了研究区域地面沉降的时间与空间分布特征;其次,应用光学遥感技术对煤矿地面沉降监测的卫星影像进行解译,并通过统计学分析方法,验证了基于光学遥感的煤矿地面沉降监测识别的准确性;最后,分别对矿山开发状态、矿山设计规模和矿山占地类型三方面的要素如何影响地面沉降的情况进行调查和汇总分析.根据分析结果,对后续的地面沉降防治措施提出了相关建议.
Research on monitoring and identifying coal mine ground subsidence based on radar and optical remote sensing
To further analyze the more information of land subsidence caused by coal mining,the land subsidence problem in the con-centrated area of Hongguo Coal Mine in Yanbian as a research case was taken.Firstly,based on Sentinel-1A satellite image data and DEM elevation data,radar remote sensing technology was applied to monitor and identify the land subsidence characteristics of coal mines in the study area,clarifying the temporal and spatial distribution characteristics of land subsidence in the study area.Secondly,optical remote sensing technology was applied to interpret satellite images of coal mine ground subsidence monitoring,and the accuracy of coal mine ground subsidence monitoring recognition based on optical remote sensing was verified through statistical analysis methods.Finally,a survey and summary analysis were conducted on how the factors of mine development status,mine design scale,and mine land occupation type affect land subsidence.Based on the analysis results,relevant suggestions were proposed for subsequent land subsidence prevention and control measures.

radaroptical remote sensingcoal mineland subsidencesettlement monitoring

熊慧、宋磊、吴鑫

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河南省第二地质大队有限公司,河南郑州 450000

河南省地球物理工程勘察院有限公司,河南郑州 450000

雷达 光学遥感 煤矿 地面沉降 沉降监测

河南省第二地质大队有限公司科技创新基金

豫地二队[2023]7号

2024

能源与环保
河南省煤炭科学研究院有限公司 河南省煤炭学会

能源与环保

CSTPCD
影响因子:0.221
ISSN:1003-0506
年,卷(期):2024.46(7)
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