Ground Deformation Detection and Monitoring using Time-Series PSInSAR for Sustainable Urban Development

Abstract:
Surface deformation monitoring plays a crucial role in various fields, including geology, geodesy, and environmental studies. Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) has emerged as a powerful technique for detecting and measuring surface deformation over large areas with millimeter-level accuracy. This study insights into the application of PSInSAR analysis techniques for studying surface. For this research, C-band Sentinel-1 Synthetic Aperture Radar (SAR) dataset used spanning from February 21, 2017, to June 6, 2020. The combination of Landsat datasets and the Google Earth Engine platform provides an efficient and scalable solution for monitoring long term land use and land cover changes and urban expansion The Lahore District has been selected for LULC classification by using satellite datasets. Lahore has experienced significant urban expansion over the years. It is one of the largest and fastest-growing cities in the country. Lahore has witnessed a substantial increase in population due to urban migration, natural growth, and economic opportunities. Subsidence can lead to structural damage to buildings, infrastructure, and underground utilities. It is a serious concern in Lahore, particularly in areas where groundwater pumping is excessive. Notably, the maximum deformation observed in the most urban area of Lahore from year 2017 to year 2022 is between 40 mm/year to -60 mm/year. The central urban part of the study area shows maximum subsidence around -60 mm/year. Overall, the adopted methodology effectively detects and monitors land surfaces vulnerable to subsidence, offering valuable insights into efficient sustainable urban planning, surface infrastructure design, and subsidence-induced hazard mitigation in large urban areas.