Areas vulnerable to landslides require an accurate estimate of surface displacement for prediction and monitoring purposes. Prediction of the degree and intensity of surface displacement assist in the protection of human and constructional designs. Deformation monitoring is one of the most advanced applications of the space-borne Interferometric Synthetic Aperture Radar (InSAR) approach. Because of its capacity to monitor large-scale deformation with millimeter accuracy, small baseline subset (SBAS) InSAR has been diversely used in geodetic fields. The current research study examines recent subsidence in Joshimath town of Chamoli district, Uttarakhand, utilizing Sentinel-1, Synthetic Aperture Radar (SAR) data for December 2022 and early January 2023 with a temporal baseline of 12 days. The data is analyzed in the OpenSAR lab Jupyter Notebook using the HyP3 and MintPy tools designed to run in specific conda environments. Processed data show that the surface vertical displacement gradually increased from 3.2 cm to 5 cm in several regions near Joshimath during the last week of December 2022 and the first week of January 2023. The average velocity reached roughly 32 cm/yr, indicating that certain zones are very dynamic. The northward and eastward sites (residential and commercial areas) of Joshimath have experienced severe subsidence, while the southward site has seen tolerable subsidence. Early identification of these surface deformations remains a difficult process, necessitating the development of an economical method for continually monitoring a large region. Avoiding unplanned construction activities and maintaining the underlying channel will overcome subsurface instability and prevent subsidence in the area.