Acta Geodaetica et Cartographica Sinica >

2016 , Vol. 45 >Issue 2: 213 - 223

DOI: https://doi.org/10.11947/j.AGCS.2016.20140614

A Multi-platform MC-SBAS Method for Extracting Long-term Ground Deformation

  • DENG Lin ,
  • LIU Guoxiang ,
  • ZHANG Rui ,
  • WANG Xiaowen ,
  • YU Bing ,
  • TANG Jia ,
  • ZHANG Heng
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  • 1. Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, China;
    2. State-Province Joint Engineering Laboratory of Spatial Information Technology for High-speed Railway Safety, Chengdu 610031, China

Received date: 2014-12-02

  Revised date: 2015-07-02

  Online published: 2016-02-29

Supported by

The National Natural Science Foundation of China (No. 41474003);The National Basic Research Program of China (973 Program) (No. 2012CB719901);Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China (No. IRT13092);Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20130184110026);Key Research Project by China Railway Corporation (No. 2014G009-B)

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Abstract

The satellite multi-temporal radar interferometry technology has been often widely used to monitor the regional ground deformation. However, due to the limitations of the lifetime and revisit cycle, a single satellite platform cannot provide sufficient data sources for estimating and analyzing the long-time deformation monitoring (e.g. spanning 5 to 10 years). In order to extend the time span of deformation monitoring, this paper proposes the model-constrained small baseline subset (MC-SBAS) method by using the multi-platform SAR images. This method can integrate the SAR datasets from different satellites and improve the efficiency of deformation monitoring. The validation is performed by taking the Southern California as the study area and using 10 ERS SAR images (acquired between 2002 and 2005) and 20 EnviSat ASAR images (acquired between 2004 and 2008). In this validation, the spatiotemporal deformation information with the extending time span of 6.5 years in the study area is extracted by the MC-SBAS method, thus extending the time span of deformation tracking to 6.5 years. The quality of deformation results derived from both MC-SBAS and the conventional SBAS method is assessed and compared by using the ground truth data obtained from the 6 GPS tracking stations. The validation result shows that the root mean squared error (RMSE) between the MC-SBAS and GPS results is 8.7 mm, which is less than the RMSE between the SBAS and GPS results (11.7 mm). In addition, the continuity and accuracy in the deformation time series derived from MC-SBAS are improved remarkably.

Key words： MC-SBAS; multi-platform; long-term deformation monitoring; Southern California

Cite this article

DENG Lin , LIU Guoxiang , ZHANG Rui , WANG Xiaowen , YU Bing , TANG Jia , ZHANG Heng . A Multi-platform MC-SBAS Method for Extracting Long-term Ground Deformation[J]. Acta Geodaetica et Cartographica Sinica, 2016 , 45(2) : 213 -223 . DOI: 10.11947/j.AGCS.2016.20140614

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