volume | PIER Journals

Abstract

Micro Deformation Monitoring Radar has been widely used in the field of surface deformation and displacement monitoring. However, limited by radar imaging geometry, the deformation measurement by existing radar technology can only extract the deformation and displacement of the target line of sight (LoS), which cannot directly reflect the actual deformation and displacement of the landslide direction and easily results in misjudgment or omission of the surface deformation monitoring information. In this paper, the relationship model and mapping between radar data and three-dimensional coordinate system were analyzed to perform three-dimensional analysis of the LoS displacement. Combined with the landslide displacement direction, the mapping angle between the LoS direction at any point in the observation area and the landslide direction was solved, and then the deformation displacement in the landslide direction was obtained by solving the LoS direction displacement. Finally, taking the measured data of one slope as the research object, the feasibility and accuracy of the method were analyzed and verified. The conclusion shows that the method proposed in this paper can be effectively applied to calculate the true value of landslide deformation.

1. Fang, Z., "National geological hazard bulletin [OL],", Jun. 2020 (in Chinese), http://www.cgs.gov.cn/gzdt/zsdw/202003/t20200331_504559.html.

2. Zeng, T., Y. Deng, C. Hu, et al. "Development state and application examples of ground-based differential interferometric radar," Journal of Radars, Vol. 8, No. 1, 154-170, 2019 (in Chinese).

3. Liu, B., D. Ge, M. Li, et al. "Ground-based interferometric synthetic aperture radar and its applications," Remote Sensing for Land and Resources, Vol. 29, No. 1, 1-6, 2017 (in Chinese).

4. Du, L., "Study about instability criterion and deformation prediction of rock slope based on fractal theory,", China University of Geosciences (Beijing), 2020 (in Chinese).
doi:10.1109/JSTARS.2016.2558578

5. Zeng, T., C. Mao, C. Hu, and W. Tian, "Ground-based SAR wide view angle full-field imaging algorithm based on keystone formatting," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 6, 2160-2170, 2016.
doi:10.1109/LGRS.2014.2366156

6. Li, Z., J. Wang, Q. H. Liu, et al. "Frequency-domain backprojection algorithm for synthetic aperture radar imaging," IEEE Geosc. and Remote Sensing Letters, Vol. 12, No. 4, 905-909, 2015.
doi:10.1016/S0013-7952(02)00196-5

7. Tarchi, D., N. Casagli, R. Fanti, et al. "Landslide monitoring by using ground-based SAR interferometry: An example of application to the Tessina landslide in Italy," Engineering Geology, Vol. 68, No. 1-2, 15-30, 2003.

8. Kuraoka, S., Y. Nakashima, R. Doke, et al. "Monitoring ground deformation of eruption center by ground-based interferometric synthetic aperture radar (GB-InSAR): A case study during the 2015 phreatic eruption of hakone volcano open access," Earth, Planets and Space, Vol. 70, 181, 2019.
doi:10.1007/s10346-016-0767-6

9. Lombardi, L., M. Nocentini, W. Frodella, et al. "The Calatabiano landslide (southern Italy): Preliminary GB-InSAR monitoring data and remote 3D mapping," Landslides, Vol. 14, No. 2, 685-696, 2017.
doi:10.3390/rs12081230

10. Qi, L., W. Tan, P. Huang, et al. "Landslide prediction method based on a ground-based micro-deformation monitoring radar," Remote Sensing, Vol. 12, No. 8, 1230, 2020.
doi:10.3724/SP.J.1146.2010.00250

11. Qu, S., Y. Wang, W. Tan, et al. "Deformation detection error analysis and experiment using ground based SAR," Journal of Electronics & Information Technology, Vol. 33, No. 1, 1-7, 2011 (in Chinese).

12. Antonello, G., D. Tarchi, N. Casagli, et al. "SAR interferometry from satellite and ground-based system for monitoring deformations on the Stromboli volcano," IEEE International Geoscience & Remote Sensing Symposium, 636, 2004.
doi:10.3390/rs8030237

13. Bardi, F., F. Raspini, A. Ciampalini, et al. "Space-borne and ground-based InSAR data integration: The Aknes test site," Remote Sensing, Vol. 8, No. 3, 237, 2016.
doi:10.1038/s41598-019-50792-y

14. Carla, T., E. Intrieri, F. Raspini, et al. "Perspectives on the prediction of catastrophic slope failures from satellite InSAR," Scientific Reports, Vol. 9, No. 1, 14137, 2019.
doi:10.1002/esp.3656

15. Caduff, R., F. Schlunegger, A. Kos, et al. "A review of terrestrial radar interferometry for measuring surface change in the geosciences," Earth Surface Processes and Landforms, Vol. 40, No. 2, 208-228, 2015.
doi:10.1007/s00603-014-0554-4

16. Atzeni, C., M. Barla, M. Pieraccini, et al. "Early warning monitoring of natural and engineered slopes with ground-based synthetic-aperture radar," Rock Mechanics and Rock Engineering, Vol. 48, No. 1, 235-246, 2015.
doi:10.1126/science.1096388

17. Wright, T. J., B. Parsons, P. C. England, et al. "InSAR observations of low slip rates on the major faults of western Tibet," Science, Vol. 305, No. 5681, 236-239, Jul. 9, 2004.

18. Song, Y., "Estimating large gradient ground deformation with dinsar and offset-tracting,", Southwest Jiaotong University, Chengdu, 2016 (in Chinese).

19. Jiang, L., K. Yang, and L. Che, "Monitoring of 3D deformation of target by ground-based synthetic aperture radar," Surveying and Mapping Bulletin, No. 3, 35-38, 2020 (in Chinese).
doi:10.1007/s10346-018-1118-6

20. Huang, R., L. Jiang, X. Shen, et al. "An efficient method of monitoring slow-moving landslides with long-range terrestrial laser scanning: A case study of the Dashu landslide in the Three Gorges Reservoir Region, China," Landslides, Vol. 16, No. 3, 839-855, 2019.

Professor Yaolong Qi

Dr. Lei Zhang

Professor Weixian Tan

Professor Pingping Huang

Dr. Zhonggen Wei

Dr. Haikun Liu