Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques |
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| Authors: | E Erten A Reigber O Hellwich |
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| Institution: | 1. College of Geology Engineering and Geomatics, Chang''an University, No. 126 Yanta Road, Xi''an 710054, China;2. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USA;3. U.S. Geological Survey, 3020 State University Dr. East, Sacramento, CA 95819, USA;1. COMET, School of Earth and Environment, University of Leeds, United Kingdom;2. ICAS, School of Earth and Environment, University of Leeds, United Kingdom;1. Department of Earth System Sciences, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea;2. Department of Geoinformatics, The University of Seoul, 90 Jeonnong-dong, Dongdaemun-gu, Seoul 02504, Republic of Korea |
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| Abstract: | The capability of DInSAR (Differential Interferometric SAR) for precise large-scale deformation analysis has been shown in various case studies. Generally, DInSAR possesses a high potential for monitoring deformation, but only the velocity component parallel to the line-of-sight direction can be measured. An alternative approach, capable to retrieve the deformation velocity in both range and azimuth direction, is the so-called spectral diversity technique. Spectral diversity is based on a phase comparison between different sub-aperture interferograms of the scene and can generally be regarded as a high-performance technique for estimating the mis-registration between complex SAR images.In this paper, the following questions will be discussed: how to implement the spectral diversity technique for achieving the most accurate results; how to extract the full 3D deformation vector from a combination of ascending/descending passes and how to extract a surface deformation map if the data sets are not perfectly coherent. Finally, a statistical analysis of every individual processing step and an error propagation analysis is undertaken. In order to make a quantitative analysis of the technique, ENVISAT data sets of the Bam earthquake in Iran are used. |
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