秦晓琼, 杨梦诗, 廖明生, 王寒梅, 杨天亮. 应用PSInSAR技术分析上海道路网沉降时空特性[J]. 武汉大学学报 ( 信息科学版), 2017, 42(2): 170-177. DOI: 10.13203/j.whugis20150430
引用本文: 秦晓琼, 杨梦诗, 廖明生, 王寒梅, 杨天亮. 应用PSInSAR技术分析上海道路网沉降时空特性[J]. 武汉大学学报 ( 信息科学版), 2017, 42(2): 170-177. DOI: 10.13203/j.whugis20150430
QIN Xiaoqiong, YANG Mengshi, LIAO Mingsheng, WANG Hanmei, YANG Tianliang. Exploring Temporal-Spatial Characteristics of Shanghai Road Networks Settlement with Multi-temporal PSInSAR Technique[J]. Geomatics and Information Science of Wuhan University, 2017, 42(2): 170-177. DOI: 10.13203/j.whugis20150430
Citation: QIN Xiaoqiong, YANG Mengshi, LIAO Mingsheng, WANG Hanmei, YANG Tianliang. Exploring Temporal-Spatial Characteristics of Shanghai Road Networks Settlement with Multi-temporal PSInSAR Technique[J]. Geomatics and Information Science of Wuhan University, 2017, 42(2): 170-177. DOI: 10.13203/j.whugis20150430

应用PSInSAR技术分析上海道路网沉降时空特性

Exploring Temporal-Spatial Characteristics of Shanghai Road Networks Settlement with Multi-temporal PSInSAR Technique

  • 摘要: 城市道路网的持续稳定性监测不仅可以避免重大事故带来的人身财产损失,也有利于经济社会的可持续发展。针对道路网长距离、大跨度的实时监测需求,将永久散射体雷达干涉测量(persistent scatterer synthetic aperture radar interferometry,PSInSAR)技术引入城市道路网的形变监测和预警,处理了上海26景时间序列TerraSAR-X卫星数据,对道路网的沉降进行时空分析。空间上,首先阐述道路网整体的沉降格局,然后探讨局部路段的沉降细节及其驱动力;时间上,分析温度变化对路面沉降时间序列变化的影响,并对实验结果进行精度验证。结果表明,上海道路网沉降主要分布在浦东区,与路网密度相关,新区城市化发展建设已成为道路网主要的沉降原因;沥青路面的沉降时间序列与温度变化存在时间相关性,沉降结果与水准数据基本一致。

     

    Abstract: The continuous monitoring of the stability of urban road networks is not only of utmost significance to mitigate the financial and human losses, but also beneficial to the sustainable development of economy and society. For the long-distance and long-span real time monitoring requirements, this article introduced PSInSAR (persistent scatterer synthetic aperture radar interferometry) technology to the deformation monitoring and warning of urban road networks. We processed 26 time series TerraSAR-X images in Shanghai and focused on the temporal-spatial analysis of the subsidence along the road networks. In the space, the overall land subsiding characteristics of road network was first demonstrated, and then the detailed subsidence detail and the subsidence driving force of the typical road. In the temporal time, we discussed the temperature variation associated with temporal displacements of asphalt pavement and verified the accuracy of the results. The results show the settlement of Shanghai road network is mainly distributed in Pudong district, which is associated with the density of roads. The rapid urbanization construction has become a main cause of urban road network subsidence. The temporal deformation shows some time correlation with the temperature variation. The verify results showing fairly consistent agreement.

     

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