Landslide Deformation Analysis Over Joshimath Region Using The Opensarlab Cloud-Based Environment

Land subsidence analysis is crucial for safeguarding lives and infrastructure. Interferometric Synthetic Aperture Radar (InSAR) has emerged as a valuable tool for studying land subsidence, but processing time-series SAR data requires significant time and space. These challenges have led to innovative solutions, such as cloud-based computing environments. Our study utilized the OpenSARLab cloud-based environment to process the DInSAR technique with 12 and 24-day interval datasets, as well as the SBAS time-series technique, covering the period from January 2020 to April 2023 in the Joshimath region, India. The findings emphasize significant surface movement rates caused by extreme rainfall, reaching up to 17 cm per year in the eastern part of Joshimath from the ascending pass, and 6 cm per year in the western area from the descending pass. Integrating both ascending and descending datasets enhances the accuracy of the results. This study offers insights for managing natural hazards and supporting sustainable development.