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Monitoring mining-induced subsidence by integrating differential radar interferometry and persistent scatterer techniques
European Journal of Remote Sensing ( IF 3.7 ) Pub Date : 2020-05-07 , DOI: 10.1080/22797254.2020.1759455
Kamila Pawluszek-Filipiak 1 , Andrzej Borkowski 1
Affiliation  

ABSTRACT

Surface subsidence is a dominant component of the displacement vector triggered by underground mining. Over the last few decades, Differential Interferometry Synthetic Aperture Radar (DInSAR) has been used to efficiently monitor this phenomenon with great spatial and temporal coverage. More advanced multi-temporal DInSAR (MTInSAR) algorithms have been proposed to overcome some of the limitations of conventional DInSAR. However, advanced MTInSAR approaches are also not perfect in terms of measuring mining subsidence (e.g., temporal decorrelation, ambiguity, nonlinearity). For this reason, we propose a fusion of the Persistent Scatterer Interferometry (PSInSAR) and DInSAR results. By combining these complementary techniques, the atmospheric errors in PSInSAR data are reduced and larger deformation rates could have been detected more accurately (thanks to DInSAR) than by an approach solely based on PS-InSAR. This allows to measure areas with fast-moving subsidence (1 m/year) due to ongoing underground coal exploitation. Data from ascending and descending orbits of Sentinel-1A\B were used to obtain the vertical deformation component. The resulting integrated vertical deformation map was compared with the results from levelling benchmarks. The Root Mean Square Error (RMSE) calculated based on this comparison was 22 mm. Moreover, the maximal vertical cumulative subsidence detected in the study area was 1.05 m/year.



中文翻译:

通过集成差分雷达干涉法和持续散射技术监测采矿引起的沉陷

摘要

地面沉降是地下采矿触发的位移矢量的主要组成部分。在过去的几十年中,差分干涉术合成孔径雷达(DInSAR)已被用来有效地监视这种现象,并具有较大的时空覆盖范围。为了克服传统DInSAR的某些局限性,已经提出了更高级的多时间DInSAR(MTInSAR)算法。但是,先进的MTInSAR方法在测量开采沉陷(例如时间去相关,模糊性,非线性)方面也不是完美的。因此,我们提出了持久散射干涉测量(PSInSAR)和DInSAR结果的融合。通过结合这些互补技术,与仅基于PS-InSAR的方法相比,可以减少PSInSAR数据中的大气误差,并且可以更准确地检测到较大的变形率(这要归功于DInSAR)。由于地下开采的进行,这可以测量沉降快速变化的区域(每年1 m)。来自Sentinel-1A \ B的上升和下降轨道的数据用于获得垂直变形分量。将所得的综合垂直变形图与来自水平基准的结果进行比较。根据该比较计算出的均方根误差(RMSE)为22 mm。此外,在研究区域中检测到的最大垂直累积沉降为1.05 m /年。由于地下开采的进行,这可以测量沉降快速变化的区域(每年1 m)。来自Sentinel-1A \ B的上升和下降轨道的数据用于获得垂直变形分量。将所得的综合垂直变形图与找平基准的结果进行比较。根据该比较计算出的均方根误差(RMSE)为22 mm。此外,在研究区域中检测到的最大垂直累积沉降为1.05 m /年。由于地下开采的进行,这可以测量沉降快速变化的区域(每年1 m)。来自Sentinel-1A \ B的上升和下降轨道的数据用于获得垂直变形分量。将所得的综合垂直变形图与来自水平基准的结果进行比较。根据该比较计算出的均方根误差(RMSE)为22 mm。此外,在研究区域中检测到的最大垂直累积沉降为1.05 m /年。

更新日期:2020-05-07
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