首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Interferometric SAR Time Series Analysis for Ground Subsidence of the Abandoned Mining Area in North Peixian Using Sentinel-1A TOPS Data
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Interferometric SAR Time Series Analysis for Ground Subsidence of the Abandoned Mining Area in North Peixian Using Sentinel-1A TOPS Data

机译:北北县北北县北部数据的废除矿区地面沉降的干涉式SAR时间序列分析

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The North Peixian mining area of China has rich coal resources, with total proven reserves of 2.37 billion tons. However, the underground coal mining activities have resulted in ground collapse, which has caused serious harm to the environment and threatened the lives and properties of local residents. In this study, 12 Sentinel-1A terrain observation by progressive scans (TOPS) mode acquisitions between 30 July 2015 and 13 May 2016 over the abandoned mining area in North Peixian were analyzed using the interferometric synthetic aperture radar (InSAR) time series method to detect the ground subsidence, with the maximum ground subsidence reaching 83 mm/a and an average value of about 12.7 mm/a. The subsidence results derived from the Sentinel-1A TOPS mode dataset were proven to be effective in investigating and monitoring the ground subsidence in the North Peixian mining area. Compared to the rapid deformation during the ongoing period of mining excavation, the ground subsides slowly in abandoned mining areas and shows a linear relationship with time over a relatively long period of time. Spatial correlation between the subsidence distribution and land cover was found, in that the magnitude of the subsidence in urban areas was smaller than that in rural areas, which is associated with the controlled coal mining activities under buildings, railways, and water bodies. The results demonstrate that Sentinel-1A TOPS SAR images can be used to effectively and accurately detect and monitor ground subsidence in a mining area, which is critically important when investigating land subsidence in a large-scale mining area.
机译:中国北北北矿区拥有丰富的煤炭资源,总验证储量为23.7亿吨。然而,地下煤矿开采活动导致地面崩溃,这导致对环境造成严重危害,并威胁着当地居民的生命和财产。在本研究中,通过逐步扫描(TOPS)模式收购,2015年7月30日至2016年5月13日在北北角的废弃矿区之间进行了12个Sentinel-1A地形观察,使用干涉性合成孔径雷达(INSAR)时间序列方法来检测地面沉降,最大地面沉降率达到83毫米/ A,平均值约为12.7毫米/ a。已证明源自Sentinel-1A顶部模式数据集的沉降结果是有效地调查和监测北牡蒜矿区的地面沉降。与持续的采矿挖掘期间的快速变形相比,地面在废弃的采矿区缓慢地消退,并在相对较长的时间内与时间展示了线性关系。发现沉降分布和陆地覆盖之间的空间相关性,因为城市地区沉降的程度小于农村地区,与建筑物,铁路和水体下的受控煤炭开采活动相关联。结果表明,Sentinel-1A顶部SAR图像可用于有效准确地检测和监控采矿区的地面沉降,这在调查大型采矿区中的土地沉降时是至关重要的。

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