Ground subsidence monitoring in mining area using DInSAR SBAS algorithm

Hongjie Yin, Jianjun Zhu, Zhiwei Li, Xiaoli Ding, Changcheng Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

28 Citations (Scopus)

Abstract

It is difficult to get robust deformation results using conventional differential InSAR method, due to lack of enough SAR images jointly used in SAR interferometry. Small baseline subset (SBAS) DInSAR algorithm is used to monitor the temporal evolution of surface deformation in mining area. A temporal deformation sequence of Lengshuijiang mining area of Hunan province is retrieved from DInSAR phase based on virtual observation method and SBAS algorithm. The retrieved deformation sequence reveals the development and evolution of the subsidence "bowl" of the mining area. The result demonstrates that the constraints of small spatial baseline limits the propagation of DEM error and at the same time the method of virtual observation improves the accuracy and robustness of deformation monitoring with InSAR.
Original languageChinese (Simplified)
Pages (from-to)52-58
Number of pages7
JournalCehui Xuebao/Acta Geodaetica et Cartographica Sinica
Volume40
Issue number1
Publication statusPublished - 1 Feb 2011

Keywords

  • Deformation monitoring
  • Differential InSAR
  • Mining subsidence
  • Small baseline subset

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this