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首页> 外文期刊>International journal of remote sensing >Dynamic monitoring of land subsidence in mining area from multi-source remote-sensing data - a case study at Yanzhou, China
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Dynamic monitoring of land subsidence in mining area from multi-source remote-sensing data - a case study at Yanzhou, China

机译：基于多源遥感数据的矿区土地沉降动态监测-以Yan州为例

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摘要

Energy consumption in China is currently based on coal, but the exploitation of coal resources is accompanied by serious threats to the environment. In order to balance mine exploitation, land resource protection and land reclamation, there is an opportunity for monitoring land subsidence in mining area. This article examines a case study of Yanzhou mining area (YZMA) and proposes a new method for dynamic monitoring of land subsidence, which is a hybrid approach using a combination of multi-scale edge detection, relational model establishment and digital elevation model (DEM) difference analysis. A wavelet transform is used to extract the edges of water and marsh, which are buffered with the model to achieve the acquisition of the subsidence edge. DEM difference analysis is finally used to modify the results. The results indicate that this hybrid method improves subsidence monitoring performance by ±0.02 km~2 of the area accuracy. This method can be viewed as an effective approach to monitor a wide range of land subsidence in plain mining areas of China.
机译：中国目前的能源消耗以煤炭为基础，但煤炭资源的开采却伴随着对环境的严重威胁。为了平衡矿山开采，土地资源保护和土地开垦，有机会监测矿区的地面沉降。本文以Yan州矿区（YZMA）为例，提出了一种动态监测地面沉降的方法，该方法是一种结合多尺度边缘检测，关系模型建立和数字高程模型（DEM）的混合方法。差异分析。小波变换用于提取水和沼泽的边缘，将其与模型一起缓冲以实现沉陷边缘的采集。最后使用DEM差异分析来修改结果。结果表明，该混合方法将下沉监测性能提高了区域精度的±0.02 km〜2。这种方法可以看作是监测中国平原矿区大范围地面沉降的有效方法。

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  • 来源
    《International journal of remote sensing》 |2012年第18期|p.5528-5545|共18页
  • 作者

    ZHENQI HU; XIANLEI XU; YANLING ZHAO;

  • 作者单位

    Institute of Land Reclamation and Ecological Reconstruction, China University of Mining & Technology (Beijing), Beijing 100083, China;

    Institute of Land Reclamation and Ecological Reconstruction, China University of Mining & Technology (Beijing), Beijing 100083, China;

    Institute of Land Reclamation and Ecological Reconstruction, China University of Mining & Technology (Beijing), Beijing 100083, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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