Disaster geological hazard identification and risk assessment in Wuhan-Ezhou-Huanggang-Huangshi region based on InSAR

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Authors: Qin Zong, Wenping Liu
Cited by: 0

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