@article { author = {Karimzadeh, Sadra and Matsuoka, Masashi}, title = {Ground Displacement and Building Damage Estimation of the 2017 Kermanshah Earthquake Using SAR Remote Sensing}, journal = {Advance Researches in Civil Engineering}, volume = {2}, number = {1}, pages = {49-56}, year = {2020}, publisher = {Papyrus Press}, issn = {2645-7229}, eissn = {2645-7229}, doi = {10.30469/arce.2020.106048}, abstract = {We used two synthetic aperture radar (SAR) datasets with different resolution to monitor the Kermanshah earthquake displacements and the buildings in Sarpole-Zahab town. We have obtained two high resolution dual-polarized (HH and HV) ALOS-2 images in strip map (SM) mode and three dual-polarized (VV and VH) Sentinel-1 images in interferometric wide (IW) mode from ascending orbits. The incidence angle of ALOS-2 and Sentinel-1 datasets were 36.2° and 38.9°, respectively. Temporal baseline of ALOS-2 dataset is 42 days, whereas pre-event and co-seismic temporal baselines of Sentinel-1 dataset are 13 and 18 days, respectively. Human activities after disasters increase and deteriorate the damage proxy maps which sometimes make the damage proxy maps meaningless. Thus, we need post-event images with shortest gaps with the event. Since the revisit cycle of ALOS-2 is rather large, we only use two ALOS-2 images to calculate ground displacement}, keywords = {SAR remote sensing,Kermanshah Earthquake,Damage detection}, url = {https://www.arce.ir/article_106048.html}, eprint = {https://www.arce.ir/article_106048_42b441c6125eb420f54a00f6947cc7a0.pdf} }