Detecting the regional linear subsidence based on CRInSAR and PSInSAR integration

Xue Min Xing, Xiaoli Ding, Jian Jun Zhu, Chang Cheng Wang, Wei Ding, Ya Fu Yang, Yong Zhe Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

The paper presents a CRInSAR and PSInSAR federative calculation algorithm, and applies it to the monitoring of regional linear subsidence. With use of the subsidence rates and elevation corrections calculated on the CR points as constraint for the PS network over the study area, the algorithm estimates the global optimum solutions of subsidence rates and elevation corrections in the PS network using the parametric adjustment method. The algorithm achieves the integration of CRInSAR and PSInSAR effectively. The author uses the PALSAR data over Henan province to validate the algorithm and extract the subsidence rates and elevation corrections successfully. The results show that the algorithm can avoid the trouble of choosing reference point, add the redundant observations in the step of spatial unwrapping through PS baselines. The precision of the velocities on the PS points is improved a lot compared to that of traditional algorithm. The displacement is accordant better with that of leveling. The distribution of mine in the area also agrees well with the subsidence area detected, thus the algorithm can be more widely and effectively applied in detecting regional ground subsidence and even the monitoring of mining area.
Original languageChinese (Simplified)
Pages (from-to)1193-1204
Number of pages12
JournalActa Geophysica Sinica
Volume54
Issue number5
DOIs
Publication statusPublished - 20 May 2011

Keywords

  • CRInSAR
  • Mine
  • PSInSAR
  • Subsidence Detecting

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

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