ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-7, 41-48, 2012
https://doi.org/10.5194/isprsannals-I-7-41-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
16 Jul 2012
ULTRASHORT-BASELINE PERSISTENT SCATTERER RADAR INTERFEROMETRY FOR SUBSIDENCE DETECTION
G. Liu, H. Jia, R. Zhang, Z. Li, Q. Chen, X. Luo, and G. Cai Dept. of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China
Keywords: Subsidence, Ultrashort Baseline, TCPInSAR, High Resolution, TerraSAR-X Images Abstract. This paper presents an improved approach of multi-temporal interferometric synthetic aperture radar (InSAR) for detecting land subsidence phenomena by using time series of high resolution SAR images. Our algorithm extends the capability of the temporarily coherent point (TCP) InSAR technique proposed previously to detect subsidence even in the case of a small number of SAR images available for a study area. The approach proposed in this paper is implemented by using the interferograms with ultrashort spatial baselines (USB) through several procedures, including selection of USB interferometric pairs, TCP identification, TCP networking and modeling, as well as TCP solution. As the topographic effects are negligible in the USB interferograms, an external digital elevation model is no longer necessary for differential processing, thus simplifying both TCP modeling and parameter estimating. The algorithm has been tested with the high resolution TerraSAR-X (TSX) images acquired over Tianjin (China), and validated by using the ground-based leveling measurements. The testing results indicate that the density and coverage extent of TCPs can be increased dramatically, and the quality of subsidence measurements derived by the USB-based TCPInSAR can be raised.
Conference paper (PDF, 1543 KB)


Citation: Liu, G., Jia, H., Zhang, R., Li, Z., Chen, Q., Luo, X., and Cai, G.: ULTRASHORT-BASELINE PERSISTENT SCATTERER RADAR INTERFEROMETRY FOR SUBSIDENCE DETECTION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-7, 41-48, https://doi.org/10.5194/isprsannals-I-7-41-2012, 2012.

BibTeX EndNote Reference Manager XML