Monitoring Land Subsidence in a Rural Area Using a Combination of ADInSAR and Polarimetric Coherence Optimization

Zahra Sadeghi, Mohammad Javad Valadan Zoej, Jan-Peter Muller
2017 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
This letter investigates a combination of Advanced Differential Synthetic Aperture Radar Interferometry, ADInSAR, with different coherence optimization methods. After the launch of satellites with polarimetry capabilities, DInSAR is feasible to generate polarimetric DInSAR to enhance pixel phase quality and increase coherent pixel density. The first method proposed in this paper, MCPO, is a modification of a known single-baseline coherence optimization method to optimize coherence of all
more » ... rograms simultaneously. The second method, CPO, was presented by Neumann [1] and is an existing revision of the single-baseline coherence optimization technique. The final method, ESPO, is a search-based approach to find the optimized scattering mechanism introduced by Navarro-Sanchez [2,3]. The case study is the Tehran basin located in the North of Iran which suffers from a high-rate of land subsidence and is covered by agricultural fields. Usually such an area would significantly decorrelate but applying polarimetric ADInSAR allows to obtain a more coherent pixel coverage. A set of dual polarization TerraSAR-X images with 9  9 and 15  15 as multi-look factors were used within the polarimetric ADInSAR procedure. All three coherence optimization methods with two different multi-look factors are shown to have increased the density and phase quality of coherent pixels. Moreover, the estimated deformation rates were evaluated using available levelling measurements. MCPO, which is presented in this paper, works more successful than CPO in terms of coherent pixels density, phase quality and deformation accuracy.
doi:10.1109/jstars.2017.2689823 fatcat:mi5mxyieqzebviqqalqtr6d7fy