Combining the Sentinel-1A/B DinSAR Interferometry to Detect Deformation Associated with Pidie Jaya Earthquake

作     者：Saumi Syahreza Fadhli Asep Saepuloh Jefriza Habibah Lateh 

作者机构：Physics Department Faculty of Mathematics and Natural Sciences Syiah Kuala University Banda Aceh 23111 Indonesia Tsunami and Disaster Mitigation Research Centre (TDMRC) Unsyiah Banda Aceh 23233 Indonesia. School of Distance Education USM Pulau Pinang 11800 Malaysia Study Program of Geology Engineering Faculty of Earth Sciences and Technology Bandung Institute of Technology (ITB) Indonesia 

出 版 物：《Journal of Physics: Conference Series》 

年 卷 期：2018年第1120卷第1期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：Currently, the European Space Agency (ESA) provides free and open access to Sentinel-1 data product. These satellite data have intensively improved the understanding and planning to mitigate the impacts of the geohazard phenomenon and ensure civil security. However, the application of InSAR data frequently limited by coherence loss caused by dense vegetation and extensive atmospheric artifacts. This paper presents a study of using C-Band Sentinel D-InSAR interferometry. The objective of this study was to mitigate the effects of vegetation and temporal decorrelation as well as improve the quality of the deformation pattern associated with Pidie Jaya earthquake on December 6, 2016. In this study, the descending orbits Sentinel-1A/B combined images product was used to generate a co-seismic interferogram. After coregistered the four images, a small part of the differential interference pattern obtained as a result of the land movement detected. The small part of fringes pattern appears in the coastal area. It was consistent with the field investigation. Unfortunately, the two sets of Sentinel-1 (S1A/S1B) combined product (revisit time of 12 days) used in this study was still not showing significant improvement incoherence. The results still showed similar deformation fringes when using two sets of S1A images (with the revisit time of 24 days). The highly speckled areas indicate the form of decorrelation arises, it may be due the dense vegetation area cause the properties of scatterers to vary over time (temporal decorrelation). Hence, further studies will be conducted using both ALOS-2 PALSAR-2.