Radar interferometry of October ۲۰۲۳ earthquakes in Shusf, South Khorasan using Sentinel-۱

InSAR, a revolutionary technique utilizing multiple radar images to precisely measure ground surface deformation, has transformed radar imaging and monitoring, enabling diverse applications like radar-based surveillance and earthquake monitoring. InSAR's exceptional precision allows for detecting and monitoring subtle changes in the Earth's surface, including subsidence, landslides, and infrastructure changes. Radar interferometry has witnessed significant advancements and diverse applications in various fields. Radar interferometry is a powerful tool that can be used to monitor natural hazards such as earthquakes. It offers several advantages, including easy and free access, and high-quality data. Radar interferometry can be used to track surface deformation, which can be used to identify potential earthquake hazards. Radar interferometry has emerged as a revolutionary tool for monitoring ground surface deformation, offering exceptional precision and cost-effectiveness. Its diverse applications in surveillance, earthquake monitoring, and geodynamic studies have revolutionized our understanding of Earth's dynamic processes. As radar interferometry technology continues to advance, its impact on scientific research and practical applications will only grow, further To improve the accuracy of radar interferometry for earthquake monitoring, it is important to analyze the structural geology and seismotectonics of the faults that are located in the earthquake-prone area. This analysis can help to identify the areas that are most likely to be affected by an earthquake. The use of Sentinel-۱ interferometry data and its integration with GPS data showed that the cause of the movement and rupture caused by ۴ powerful earthquakes in the Philippines in ۲۰۱۹ was the activation of a dual fault structure (Li et al., ۲۰۲۰). Radar interferometry using Sentinel-۱ data on the Nora earthquake in the Pamir Mountains showed that the shaking caused a ۷۵-centimeter slip over a range of about ۱۴ kilometers (He et al., ۲۰۱۸). Studies with Sentinel-۱ data on the ۶.۳ magnitude Taiwan earthquake showed ۱۲ centimeters of displacement in the northwest, ۸ centimeters in the west, and ۶ centimeters in the east(Qu et al., ۲۰۱۷). Sentinel-۱ interferometry data for investigating the ground deformation caused by the Sefid Sang earthquake in Khorasan showed that the ground displacement for ascending and descending data was ۱۰.۵ centimeters and ۱۳.۷ centimeters, respectively(Xu, Xu and Wen,۲۰۱۸). Sentinel-۱ data recorded a ۶۸-kilometer-long and ۴۰-kilometer-wide slip with a maximum displacement of ۵۹ centimeters in the Xinjiang earthquake in China(Ma et al., ۲۰۱۸). Using Sentinel-۱'s ascending and descending data in the Qinghai earthquake in China, the displacement recorded in the satellite's line of sight was ۵۸ and ۶۸ millimeters, respectively(Wang et al., ۲۰۱۷). Studies using Sentinel-۱ on the Ezgeleh earthquake showed a displacement of ۹۷ centimeters in the satellite's line of sight(Ding et al., ۲۰۱۸). Kim and Han investigated the displacement and mechanism of the Hovsgol earthquake in Mongolia using Sentinel-۱ and ALOS-۲ data(Kim and Han, ۲۰۲۳). this study, we use InSAR data from Sentinel-۱ to investigate the ground displacement caused by the two earthquakes that occurred in Shusf, South Khorasan province, Iran, in October ۲۰۲۳.