Disaster geological hazard identification and risk assessment in Wuhan-Ezhou-Huanggang-Huangshi region based on InSAR
Abstract
Based on interferometric synthetic aperture radar (InSAR), large-scale and high-accuracy surface deformation information can be obtained, combined with remote sensing images, geology, hydrology and other data for hidden hazard identification and risk assessment, which is important for geological disaster prevention and governance. Based on 32,177 square kilometers Sentinel-1 images of Wu-E-Huang-Huang (Wuhan City, Ezhou City, Huanggang City and Huangshi City) from January 2018 to June 2024, the PSInSAR and wide-area surface deformation rapid extraction algorithm are used to extract surface deformation, combined with Gaofen-2 satellite remote sensing image and data on hidden geological disaster points in Wuhan City for global geological disaster hidden hazard identification and field validation
Fields of Study & Subjects
Synthetic Aperture Radar (SAR) Applications and Techniques
Landslides and related hazards
Flood Risk Assessment and Management
Publication details
- Journal / source
- International Conference on Geoscience and Remote Sensing Mapping (GRSM)
- Pages
- 48–48
- Publication date
- 13 January 2026