Remote Sensing X-Band SAR Data for Land Subsidence and Pavement Monitoring.

摘要: In this study, we monitor pavement and land subsidence in Tabriz city NW Iran using X-band synthetic aperture radar (SAR) sensor of Cosmo-SkyMed (CSK) satellites (2017–2018). Fifteen CSK images with a revisit interval ~30 days have been used. Because traffic jams, usually cars on streets do not allow pure backscattering measurements pavements. Thus, the major paved areas (e.g., streets, etc.) are extracted from minimum-based stacking model high resolution (HR) SAR images. The technique can be used profitably to reduce negative impacts presence jams estimate possible quality HR which results compared by in-situ road roughness measurements. addition, time series small baseline subset (SBAS) interferometric (InSAR) analysis is applied for acquired SBAS InSAR show some parts city. mean rate line-of-sight (LOS) 20 mm/year district two city, was confirmed field surveying vertical velocity Sentinel-1 dataset. also that 1.4 km2 buildings 65 km at an immediate risk subsidence.