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基于Sentinel数据的金沙江波罗乡地段滑坡InSAR时序分析
Time Series Analysis of InSAR Landslide in Polo Township of Jinsha River Based on Sentinel Data

DOI: 10.12677/GSER.2020.92011, PP. 97-105

Keywords: 金沙江,滑坡,哨兵1号,短基线集( Small Baseline Subset, SBAS)
Jinsha River
, landslide, Sentinel-1A, SBAS-INSAR

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Abstract:

金沙江位于我国西藏与四川的交界处,地质环境复杂、气候差异变化大导致地质结构不稳定容易发生滑坡灾害。如果采用传统的水准和GPS测量方法,其分辨率低并且不容易实现其操作,在各方面都存在巨大的消耗。本文采用短基线集SBAS的INSAR技术具有大范围高分辨率的等特点。SBAS技术可有效克服常规InSAR技术失相干和大气效应的影响,很大程度的提高形变监测精度,其监测精度可达毫米级,在山体滑坡和城市形变检测方面有一定的应用。本文采用哨兵1号数据,对金沙江博罗乡数据进行多时段干涉处理,得出其滑坡结果。研究表明,位于波罗乡宁巴村金沙江西侧的山体发生了较大的沉降,沉降的平均速率最大达至28mm/年,东侧的山体沉降量较小,沉降平均速率8mm/年,其余的小部分区域也存在着微量的沉降。
The Jinsha River is located at the junction of Tibet and Sichuan in China. The geological environment is complex and the climate change is large, which leads to unstable geological structure and landslide disaster. If the traditional level and GPS measurement methods are used, it has low resolution and it is not easy to implement its operation, and there will be huge consumption in all aspects. This article adopts the INSAR technology with short baseline set SBAS which has a wide range of high resolution. SBAS technology can effectively overcome the influence of conventional InSAR technology loss of coherence and atmospheric effects, and greatly improve the accuracy of deformation monitoring. Its monitoring accuracy can reach millimeter level, and it has certain applications in landslide and urban deformation detection. In this paper, the data of Sentinel No. 1 is used to intervene in the data of the Boluo Township of Jinsha River for a period of time, and the landslide results are obtained. The study shows that the mountain body on the west side of the Jinsha River in Ningba Village, Polo Township has experienced large settlement, the average rate of settlement is up to 28 mm/year, the settlement of the mountain on the east side is small, and the average settlement rate is 8 mm/year. A small amount of sedimentation also exists in a small part of the area.

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