###### Abstract  
Safety status of artificial slopes is significant for the operation and maintenance of highway to mitigate the risk; thus, slope hazard identification is necessary. In order to realize large-area and low-cost application for regional highway, taking the Longqing Highway (length of 55 km) as a case study, the SBAS-InSAR (Small Baseline Subset-Interferometric Synthetic Aperture Radar) technique is adopted to detect the ground deformation and conduct hazard identification based on slope dip, aspect, geological data and historical hazard record. Field survey is carried out to verify the identified potential hazards. Results show that the detected potential hazards are distributed mainly in the areas consisting of granite residual and the Quaternary soil. Six potential hazards identified by the SBAS-InSAR-based method are roughly in accordance with the on-site verification. It is suggested that the SBAS-InSAR technique has the ability to obtain the slope deformation accurately and reveal the safe condition of the slopes. The SBAS-InSAR technique can be suitable for assistance in regional highway slope inspection. artificial slope; hazard identification; mountainous highway; SBAS-InSAR; field verification 20211  
poral decorrelation and atmospheric disturbance [7; 8]. The MT-InSAR techniques have been devoted to a series of meaningful explorations in the geohazard identification [9; 10; 11; 12], ground deformation monitoring [13; 14; 15; 16; 17], bridge deformation monitoring [18; 19], and building deformation detection [20], etc. As limited by the spatial displacement gradient, the InSAR is normally suitable for detection of slow(13 m/month) to extremely-slow (<16 mm/yr) movement [21]. Commonly used MT-InSAR techniques include PS-InSAR (Persistent Scatterer Interferometry) [22; 23; 24; 25] and SBAS-InSAR [26; 27; 28; 29]. The PS-InSAR method obtains long-term series of ground deformation at the expense of the density of monitoring points in space. Since the differential interferograms generated by the PS-InSAR method are all based on the single master image, there may be cases where the interferometric has long temporal and spatial baseline. However, this can reduce the coherence of the data points and result in small number of PS (persistent scatterer) points. The SBAS-InSAR method uses a multimaster image combination method to limit the temporal baseline and spatial baseline of the interferometric pairs to improve the coherence and deformation detection accuracy. It can not only overcome the coherence loss of PS-InSAR due to selecting single master image but also reduce the demand number of SAR data and increase the computational efficiency [30]. In terms of application in highways, [PERSON] et al. [31] used the SBAS-InSAR method to study the evolution of landslide deformation caused by highway tunnel construction. [PERSON] et al. [32] investigated the ground subsidence of two highways using SBAS-InSAR method, and the external accuracy was improved from \(\pm\)4 to \(\pm\)3 mm by adopting the seasonal model. [PERSON] et al. [6] studied the landslide susceptibility mapping (LSM) of Karakorum Highway using SBAS-InSAR technology and logistic regression model. By introducing the SBAS-InSAR slope deformation results, the LSM was refined. Recently, [PERSON] et al. [11] conducted preliminary identification of geological hazards by SBAS-InSAR technique integrated multiple spatial analysis. The visibility analysis was used to remove the influence of geometric distortion of SAR images. Based on the above literature review, most studies focus on large-scale geological hazards within a specific region. However, targeted investigations on the safety evaluation and hazard identification of highway artificial slopes are few using the SBAS-InSAR technique. Therefore, the feasibility of artificial slope hazard identification for mountainous highways using SBAS-InSAR technique was studied. InSAR-based ground deformation was firstly obtained to determine the deformation abnormal area.