Research on quality improvement method of deformation monitoring data based on InSAR

Hu, Zhengquan; Li, Bin; Liu, Yu; Niu, Xiaowei

doi:10.1016/j.jvcir.2019.102652

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…When the traditional geological hazard survey method is used to monitor the deformation in mountainous areas, it often shows the shortcomings of low applicability of the monitoring method and limited accuracy of the detection results [4]. erefore, through the InSAR technology, to effectively identify the potential geological disasters and to prevent and control become the focus of this paper [5,6].…”

Section: Introductionmentioning

confidence: 99%

Monitoring, Prediction, and Evaluation of Mountain Geological Hazards Based on InSAR Technology

Yang

Zhi²,

Ren

et al. 2022

Scientific Programming

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When traditional geological hazard survey methods are used for deformation monitoring in mountainous areas, it often shows the disadvantages of low applicability of monitoring methods and limited accuracy of detection results. In recent years, synthetic aperture radar interferometry (InSAR) technology has incomparable advantages in surface deformation monitoring, such as all-weather detection, wide detection range, high detection accuracy, and low detection cost. At the same time, InSAR technology can also provide data and technical support for the subsequent task of potential geological disaster point identification and geological disaster risk zoning in the study area. Alos-2 radar is selected; in this paper the satellite image is the research data, and the InSAR technology is used to complete the surface deformation detection. Then, based on the previous surface deformation monitoring results, the potential geological disaster points in the study area are extracted, and the distribution law and incubation conditions of the disaster points are analyzed and described. According to the field conditions of a certain area, the surface distribution, development causes, and inducing mechanism of the potential geological disaster points are explored; the results show that the development of geological disasters in the study area is affected by many factors such as landform, geological environment, climate, hydrology, and human activities. Based on this, 11 factors such as formation lithology, slope, and river are used as evaluation factors for mountain geological disaster monitoring, prediction, and evaluation analysis. Finally, the improved analytic hierarchy process information model is used to complete the monitoring, prediction, evaluation, and analysis of regional geological hazards in the study area. In this paper, the improved AHP-information method is used to classify the risk of mountain geological disasters in the study area. Finally, the evaluation results are verified, which proves that the improved AHP-information method is reliable, and its mountain geological disaster monitoring and prediction evaluation effect is better than the traditional AHP-information method.

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Section: Introductionmentioning

confidence: 99%

Monitoring, Prediction, and Evaluation of Mountain Geological Hazards Based on InSAR Technology

Yang

Zhi²,

Ren

et al. 2022

Scientific Programming

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“…Furthermore, it can be employed for earthquake deformation field analysis [1,2] . With its characteristics of high resolution, all-weather capability, and continuous monitoring, InSAR technology has been widely applied in various deformation monitoring tasksz [3] . It enables the acquisition of large-scale surface deformation time series with significantly improved spatial resolution and shorter time intervals [4] .…”

Section: Introductionmentioning

confidence: 99%

Research on monitoring fault activity using spaceborne synthetic aperture differential interferometry radar, taking Handan area as an example

Liu,

Li,

Chen

et al. 2024

Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023)

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The comprehensive positioning and seismic hazard assessment of fault zones are significant challenges faced by many countries worldwide. The author employs SBAS-InSAR technology to conduct spaceborne interferometry radar timeseries dynamic monitoring of the Handan area, with a focus on the Handong fault as the main subject of investigation. The monitoring period spans from the beginning of 2017 to 2021, comprising a total of 48 monitoring phases. The comprehensive deformation velocity fields and monthly cumulative deformation data were obtained and primarily used to analyze the Handong fault in conjunction with multiple data sources. The results indicate that the Handong fault is the primary structural feature in this area, acting as the demarcation line between regional uplift and subsidence deformations. On the western side of the Handong fault, there is evidence of uplift, while the eastern side experiences subsidence. The average uplift rate on the western side is approximately 0.51 mm/a, which is generally consistent with the overall uplift rate of the Taihang Mountain. On the eastern side, the average subsidence rate is -29.8 mm/a, which is mainly attributed to the over-extraction of groundwater, with a relatively lower likelihood of being influenced by tectonic activity.

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Analysis of the characteristics and causations of surface deformation based on TS-InSAR: a case study of Jimo district, China

Wang

Liang

Han

et al. 2023

Environ Sci Pollut Res

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Research on quality improvement method of deformation monitoring data based on InSAR

Cited by 3 publications

References 26 publications

Monitoring, Prediction, and Evaluation of Mountain Geological Hazards Based on InSAR Technology

Monitoring, Prediction, and Evaluation of Mountain Geological Hazards Based on InSAR Technology

Research on monitoring fault activity using spaceborne synthetic aperture differential interferometry radar, taking Handan area as an example

Analysis of the characteristics and causations of surface deformation based on TS-InSAR: a case study of Jimo district, China

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