## 5 Conclusions  
This study takes Xiaojin County as a case study to explore the application of time-series InSAR deformation results in geological hazard risk assessment. The ascending and descending orbit results of time-series InSAR deformation were incorporated as two evaluation factors into the geological hazard risk assessment model, combined with 11 other evaluation factors, including slope, aspect, lithology, and precipitation. The model was then used to perform hazard zoning and risk assessment for Xiaojin County. From the hazard zoning map, it can be seen from the hazard zoning map that the high and very high hazard zones in Xiaojin County are mainly concentrated along rivers and valleys. The overlay analysis of the hazard assessment results and geological disaster points shows the proportion of existing disaster points in the Information Volume Model and Evidence Weight Model as follows: In the low hazard zone, the proportions are 0.66% and 2.63%, respectively; in the medium hazard zone, the proportions are 8.55% and 11.84%; in the high hazard zone, the proportions are 17.76% and 26.32%; and in the very high hazard zone, the proportions are 73.03% and 59.21%, respectively. By comparing with existing geological disaster points, the hazard assessment results for Xiaojin County, which integrate time-series InSAR deformation data, show good consistency with the distribution of existing geological disasters. Therefore, by providing detailed risk zoning and risk factor analysis, this study provides a scientific basis for urban planning and infrastructure construction, helping to designate more effective disaster prevention and reduction protocols to ensure the safety of urban construction and infrastructure. Comparing the evaluation accuracy of the Information Volume Model and the Evidence Weight Model, ROC curves were plotted before and after incorporating the time-series InSAR deformation results into both models. The AUC values for the Information Volume Model were higher than those for the Evidence Weight Model. After integrating the time-series InSAR deformation monitoring results, the evaluation accuracy of the Information Volume Model and Evidence Weight Model improved by 9.69% and 11.26%, respectively. In terms of hazard zoning accuracy, the results from the Information Volume Model were superior to those from the Evidence Weight Model. The hazard assessment results for the Information Volume Model after incorporating time-series InSAR deformation data are as follows: low hazard zone area of 1518.95 km\({}^{2}\) (27.28%), medium hazard  
Figure 6: Receiver operating characteristic curve. (**a**) InSAR deformation results were added to the factor, (**b**) InSAR deformation results were not added to the factor. zone area of 2402.04 km\({}^{2}\) (43.1%), high hazard zone area of 1077.96 km\({}^{2}\) (19.36%), and very high hazard zone area of 569.05 km\({}^{2}\) (10.22%). The high and very high hazard zones are primarily concentrated along rivers and valleys at lower altitudes. [PERSON] and [PERSON] put forward the idea of this paper. [PERSON] processed and analyzed the sentinel data and geological hazard risk assessment, contributed to the manuscript of the paper, made criticisms, and revised the manuscript. [PERSON] analyzes the results of SBAS-InSAR. [PERSON] analyzed the ROC curves and criticized the manuscript. [PERSON] analyzed the information volume model and the evidence weight model and made criticism of the manuscript. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable.