During the past few years, rail infrastructures in Bangladesh had been expanded not only in developing new rail routes but also in rehabilitation and modernization of existing tracks. Previous studies on subsidence identified Bangladesh and the Ganges-Brahmaputra Delta (GBD) region as a high-risk zone of land subsidence resulting from sea-level rise and climate change (Steckler et. al., 2022). This regional subsidence will affect the stability of linear rail infrastructure. The possible effect of this subsidence on rail infrastructure health was not scientifically examined before. Dhaka-Kasiani-Gopalganj Railway, which connects the capital city Dhaka to Gopalganj city in the southern part of Bangladesh, is chosen as case study. This study aims to evaluate the ground subsidence rate along railway lines using remote sensing techniques for prioritization of inspection and maintenance activity. As the analysis can be done remotely, this technology posed a solution for decision makers in low-resource settings for resilient transport infrastructure. The annual ground deformation rate will be estimated from Interferometric Synthetic Aperture Radar (InSAR) time-series analysis. Sentinel-1A data in ascending orbit from September 2016 to August 2023 will be used and global navigation satellite system (GNSS) data will be integrated for accurate measurement. Capabilities and limitations of using InSAR techniques with Sentinel-1A data for instability mapping of railway line will also be discussed.