Data for: Coastal Vulnerability to Relative Sea Level Rise in Bangladesh: A Machine Learning Framework Integrating InSAR Subsidence and Multi-Mission Satellite Altimetry

This dataset contains the primary data used in the study "Coastal Vulnerability to Relative Sea Level Rise in Bangladesh: A Machine Learning Framework Integrating InSAR Subsidence and Multi-Mission Satellite Altimetry". The study integrates multi-mission satellite altimetry (1999–2024), InSAR-derived vertical land motion (2010–2025), tide gauge observations (1977–2025), and ancillary geospatial data to assess coastal vulnerability across 19 districts of Bangladesh using machine learning. The dataset is organized into four main components: tide gauge records, satellite altimetry, processed InSAR vertical land motion maps, and supporting documentation. All spatial data are provided in GeoTIFF format at 30-meter resolution where applicable, while time-series data are provided as text files.