TerraSAR-X数据在淮南矿区沉陷监测中的应用

发布时间：2018-08-13 19:09

【摘要】：合成孔径雷达差分干涉测量(Differential Interferometic SAR,D-InSAR)技术可以快速、精确、大范围地监测地表形变,为矿区开采沉陷的监测和防治提供了有效手段。以安徽淮南淮河以北矿区为研究区,获取了3景高分辨率TerraSAR-X影像,分别利用二轨法、三轨法D-InSAR技术提取2010年11月22日~2011年4月25日的沉陷情况。结果显示:在这期间淮南矿区发生了大量沉陷,最大沉陷量为-71mm,位于丁集矿区;顾桥顾北矿区和潘集矿区的最大沉陷量约为-50和-45mm,两种方法提取出的沉陷区位置、形态与实际情况基本稳合,沉陷速率与相关研究大体一致,表明利用短时空基线的高空间分辨率TerraSAR-X数据能够对淮南矿区的地表形变量和形变范围进行高精度的监测。同时,将两种方法提取的结果对比分析发现,在缺乏精细DEM数据的情况下,三轨法在平原区的应用效果优于二轨法。
[Abstract]:(Differential Interferometic SAR differential interferometry can be used to monitor surface deformation quickly, accurately and extensively, which provides an effective method for mining subsidence monitoring and prevention. Taking the mining area north of Huaihe River in Huainan, Anhui Province as the study area, three high resolution TerraSAR-X images were obtained. The subsidence from November 22, 2010 to April 25, 2011 was extracted by using the two-track method and the three-track D-InSAR technique, respectively. The results show that a large number of subsidence occurred in Huainan mining area during this period, the maximum subsidence amount was -71mm, which was located in Dingji mine area, and the maximum subsidence amount in Guqiao Gubei and Panji mining areas was about -50 and -45mm, respectively. The positions of subsidence areas extracted by the two methods were about -50 mm and -45 mm, respectively. The morphological and practical conditions are basically stable, and the subsidence rate is generally consistent with the related studies, which indicates that the high spatial resolution TerraSAR-X data of short space-time baselines can be used to monitor the surface shape variables and deformation range of Huainan mining area with high precision. At the same time, by comparing the results of the two methods, it is found that in the absence of fine DEM data, the application effect of the three-track method in the plain area is better than that of the two-track method.
【作者单位】：合肥工业大学资源与环境工程学院;
【基金】：安徽省国土资源厅科技项目“淮南煤田采煤沉陷的演变规律及预测预警预报技术研究”(2012AHST0802) 安徽省自然科学基金资助项目“两淮矿区采煤沉陷多源遥感动态监测与预警研究”(2012AKZR0348)
【分类号】：TD326;TN957.52

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