Evaluation of Geological Hazard Susceptibility of Baiyin City Based on MT-InSAR Deformation Measurements

Objectives:  Geological hazard points and hidden danger points are the data basis for geological hazard evaluation, while the existing records of geological hazard points have poor timeliness and are incomplete. To solve this problem, the deformation information obtained by MT-InSAR (Multi-Temporal Interferometric Synthetic Aperture Radar) was integrated into the geological hazard evaluation model. And we explore how to make better use of the deformation information.   Methods:  The greater the deformation level, the greater the possibility of geological hazards. This paper not only takes the deformation points obtained by MT-InSAR as the geological hazard points/hidden danger points, but also integrates the deformation level information obtained by MT-InSAR as an evaluation factor into the susceptibility evaluation model, making full use of the effective deformation information obtained by MT-InSAR. And the evaluation model adopts the coupling model based on information value model and the analytic hierarchy process model to obtain the susceptibility evaluation and zoning of the geological hazards in Baiyin City.   Results:  Through the verification of the existing geological disaster point data, it is found that the partitions in this paper are in good agreement with the existing geological hazard points distribution. In the designated extremely high-prone areas, there are nearly 8 geological disaster points within 10 square kilometers, while less than one in the extremely low-prone areas.   Conclusion:  The MT-InSAR deformation information added to the geological hazard evaluation model greatly improves the timeliness and quantity of records of geological hazard points/hidden points. However, only one kind of SAR data cannot completely identify all geological hazard points/hidden danger points, due to the limitations of incidence angle and microwave wavelength. In the futher work, we will focus on the combination of multiple deformation monitoring technologies to jointly monitor surface deformation, such as multi-sensor and multi-track InSAR technology, airborne LiDAR(Light Laser Detection and Ranging and high-resolution optical remote sensing.