Monitoring of ground movement and estimation of earthquake fault parameters using Sentinel-1 data (Case study: Genaveh earthquake)

Given the special situation of Iran in terms of tectonics, it can be claimed that all faults in the country are seismic. Every year, financial and human losses and losses occur, especially in rural areas due to earthquakes. Today, interferometry synthetic aperture radar technology with various capabilities and products in the field of phase and amplitude has become a powerful tool for monitoring movements. Satellite imagery for two-pass (ascending and descending) capture can provide different information about faults. In this paper, seismic fault parameters are estimated by solving the inverse problem with surface displacement field boundary values ​​obtained from InSAR observations. The study of active fault parameters to identify earthquakes and improve their predictability is a topic of interest for geologists. For this purpose, a pair of Sentinel-1 radar images before and after the earthquake have been studied as images of the study area. As the results show, the maximum amount of ground displacement was 19 cm up and 8 cm down. To obtain the fault geometry and slip distribution on the fault plane, these components have been inverted using the genetic algorithm optimization method and the Acada ​​elastic half-space analysis model. The inverse modeling method showed that InSAR is a useful method for estimating the amount of ground displacement due to an earthquake and also determining the parameters of the fault causing the earthquake. Also, there is 1 and 3 cm uncertainty for two observed and modeled data, respectively. This indicates a better accuracy of descending geometry.