Active Landslide Detection Based on Sentinel-1 Data and InSAR Technology in Zhouqu County, Gansu Province, Northwest China

Cong Dai; Weile Li; Dong Wang; Huiyan Lu; Qiang Xu; Ji Jian

doi:10.1007/s12583-020-1380-0

Volume 32 Issue 5

Oct 2021

Turn off MathJax

Article Contents

Journal of Earth Science > 2021 > 32(5): 1092-1103.

Cong Dai, Weile Li, Dong Wang, Huiyan Lu, Qiang Xu, Ji Jian. Active Landslide Detection Based on Sentinel-1 Data and InSAR Technology in Zhouqu County, Gansu Province, Northwest China. Journal of Earth Science, 2021, 32(5): 1092-1103. doi: 10.1007/s12583-020-1380-0

Citation:

Cong Dai, Weile Li, Dong Wang, Huiyan Lu, Qiang Xu, Ji Jian. Active Landslide Detection Based on Sentinel-1 Data and InSAR Technology in Zhouqu County, Gansu Province, Northwest China. Journal of Earth Science, 2021, 32(5): 1092-1103. doi: 10.1007/s12583-020-1380-0

Citation:

Cong Dai, Weile Li, Dong Wang, Huiyan Lu, Qiang Xu, Ji Jian. Active Landslide Detection Based on Sentinel-1 Data and InSAR Technology in Zhouqu County, Gansu Province, Northwest China. Journal of Earth Science, 2021, 32(5): 1092-1103. doi: 10.1007/s12583-020-1380-0

PDF( 9819 KB)

Active Landslide Detection Based on Sentinel-1 Data and InSAR Technology in Zhouqu County, Gansu Province, Northwest China

doi: 10.1007/s12583-020-1380-0

Cong Dai^{1, 2
,},
Weile Li^{1
,
,
,},
Dong Wang³,
Huiyan Lu^{1, 2},
Qiang Xu¹,
Ji Jian²

1.
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
2.
College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China
3.
China Railway Eryuan Engineering Group Co. Ltd., Chengdu 610031, China

More Information

Corresponding author: Weile Li: whylwl01@163.com
Received Date: 12 Aug 2020
Accepted Date: 27 Nov 2020
Publish Date: 01 Oct 2021

Abstract

Abstract

Zhouqu County in Gansu Province, Northwest China, is typically highly prone to landslides. On July 12, 2018, a landslide blocked the Bailong River near Zhouqu County, posing a serious threat to the life and property of local residents and the safety of infrastructure. Small baseline subset interferometry synthetic aperture radar technology (SBAS-InSAR) was adopted to identify the potential active landslides in the surrounding area of Zhouqu County, using ascending and descending orbit Sentinel-1 satellite images taken from October 2017 to December 2018. The surface deformation areas detected by SBAS-InSAR were verified by optical remote sensing image interpretation and field investigation, and a total of 23 active landslides were identified finally. The deformation characteristics of four typical landslides are analysed in detail using deformation velocity and rainfall data. It is found that the deformation velocity of landslides in this area is mainly affected by rainfall and there is a lag effect. The results can provide a reference for the prevention and control of landslide risk in Zhouqu County.
- Zhouqu County,
- landslide,
- detection,
- small baseline subset interferometry

FullText(HTML)

References(39)

References

Berardino, P., Fornaro, G., Lanari, R., et al., 2002. A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40(11): 2375-2383. https://doi.org/10.1109/TGRS.2002.803792

Carlà, T., Intrieri, E., Raspini, F., et al., 2019. Perspectives on the Prediction of Catastrophic Slope Failures from Satellite InSAR. Scientific Reports, 9(1): 14137. https://doi.org/10.1038/s41598-019-50792-y

Chen, G., Zhang, Y., Zeng, R. Q., et al., 2018. Detection of Land Subsidence Associated with Land Creation and Rapid Urbanization in the Chinese Loess Plateau Using Time Series InSAR: A Case Study of Lanzhou New District. Remote Sensing, 10(2): 270. https://doi.org/10.3390/rs10020270

Chen, J. X., 2013. The Centrifuge Model Test for the Sliding Mechanism of the Suoertou Landslide in Zhouqu County Gansu Province: [Dissertation]. Chengdu University of Technology, Chengdu (in Chinese with English Abstract)

Crosetto, M., Monserrat, O., Cuevas-González, M., et al., 2016. Persistent Scatterer Interferometry: A Review. ISPRS Journal of Photogrammetry and Remote Sensing, 115: 78-89. https://doi.org/10.1016/j.isprsjprs.2015.10.011

Dai, K. R., Shi, X. L., Gou, J. S., et al., 2020. Diagnosing Subsidence Geohazard at Beijing Capital International Airport, from High-Resolution SAR Interferometry. Sustainability, 12(6): 2269. https://doi.org/10.3390/su12062269

Dong, J., Liao, M. S., Xu, Q., et al., 2018. Detection and Displacement Characterization of Landslides Using Multi-Temporal Satellite SAR Interferometry: A Case Study of Danba County in the Dadu River Basin. Engineering Geology, 240: 95-109. https://doi.org/10.1016/j.enggeo.2018.04.015

Du, F., 2015. Study on the Basic Characteristics of the Xieliupo Landslide and the Prediction of Blocking the River in Zhouqu County Gansu: [Dissertation]. Chengdu University of Technology, Chengdu (in Chinese with English Abstract)

Fan, X. M., Scaringi, G., Korup, O., et al., 2019. Earthquake-Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts. Reviews of Geophysics, 57(2): 421-503. https://doi.org/10.1029/2018rg000626

Ferretti, A., Prati, C., Rocca, F., 2001. Permanent Scatterers in SAR Interferometry. IEEE Trans Geoscience Remote Sensing, 39: 8-20. https://doi.org/10.1109/36.898661

Fiolleau, S., Jongmans, D., Bièvre, G., et al., 2020. Seismic Characterization of a Clay-Block Rupture in Harmalière Landslide, French Western Alps. Geophysical Journal International, 221(3): 1777-1788. https://doi.org/10.1093/gji/ggaa050

Guo, C. B., Ren, S. S., Li, X., et al., 2019. Development Characteristics and Reactivation Mechanism of the Jiangdingya Ancient Landslide in the Nanyu Town, Zhouqu County, Gansu Province. Geoscience, 33(1): 206-217 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-XDDZ201901020.htm

Guo, C. B., Zhang, Y. S., Li, X., et al., 2020. Reactivation of Giant Jiangdingya Ancient Landslide in Zhouqu County, Gansu Province, China. Landslides, 17(1): 179-190. https://doi.org/10.1007/s10346-019-01266-9

Guo, J. M., Hu, J. Y., Li, B., et al., 2017. Land Subsidence in Tianjin for 2015 to 2016 Revealed by the Analysis of Sentinel-1A with SBAS-InSAR. Journal of Applied Remote Sensing, 11(2): 026024. https://doi.org/10.1117/1.JRS.11.026024

Huang, X., Yang, W. M., Zhang, C. S., et al., 2013. The Formation Mechanism of Suoertou Landslide in Pingding-Huama Fault Zone, Southern Gansu. Geological Bulletin of China, 32(12): 1936-1942 (in Chinese with English Abstract) http://www.researchgate.net/publication/289323202_The_formation_mechanism_of_Suoertou_landslide_in_Pingding-Huama_fault_zone_southern_Gansu

Huo, D. P., Zhang, B., Peng, J. H., et al., 2015. Review and Prospective of Landslide Deformation Monitoring. Geotechnical Investigation & Surveying, 43(8): 62-67 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-GCKC201508013.htm

Jiang, X. Z., Wen, B. P., 2015. Creep Behavior of Slip Zone of Reactivated Slow-Moving Landslide and Its Characteristic Strength. Rock and Soil Mechanics, 36(2): 495-501, 549 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-YTLX201502030.htm

Jiang, X. Z., Wen, B. P., Jiang, S., et al., 2015. Main Factors Analysis for Controlling Kinematic Behavior of Suoertou Landslide. Journal of Jilin University (Earth Science Edition), 45(6): 1798-1807 (in Chinese with English Abstract) http://www.researchgate.net/publication/291699395_Main_factors_analysis_for_controlling_kinematic_behavior_of_Suoertou_landslide

Kang, Y., 2016. Landslide Detection and Monitoring over Southwestern Mountainous Area with InSAR: [Dissertation]. Chang'an University, Xi'an (in Chinese with English Abstract)

Li, W. L., Xu, Q., Lu, H. Y., et al., 2019. Tracking the Deformation History of Large-Scale Rocky Landslides and Its Enlightenment. Geomatics and Information Science of Wuhan University, 44(7): 1043-1053 (in Chinese with English Abstract) http://www.researchgate.net/publication/339091214_Tracking_the_Deformation_History_of_Large-Scale_Rocky_Landslides_and_Its_Enlightenment

Li, Z. H., Song, C., Yu, C., et al., 2019. Application of Satellite Radar Remote Sensing to Landslide Detection and Monitoring: Challenge and Solutions. Geomatics and Information Science of Wuhan University, 44(7): 967-979 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-WHCH201907003.htm

Liao, S. B., Fang, Z., Liu, X., 2013. Seismic Response of Rock Slope Considering Distribution Features of Structural Interfaces. Yangtze River, 44(3): 40-43 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-RIVE201303011.htm

Liu, C. J., Qiu, J. T., Wang, J. S., et al., 2018. Influence and Research on Leveling Deformation Anomaly in Taiyuan Station, Shanxi. Journal of Geodesy and Geodynamics, 38(11): 1111-1116 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-DKXB201811002.htm

Liu, C. Z., Miao, T. B., Chen, H. Q., et al., 2011. Basic Feature and Origin of the "8·8" Mountain Torrent-Debris Flow Disaster Happened in Zhouqu County, Gansu, China, Aug. 8, 2010. Geological Bulletin of China, 30(1): 141-150 (in Chinese with English Abstract) http://www.en.cnki.com.cn/Article_en/CJFDTOTAL-ZQYD201101016.htm

Liu, D. F., Wang, X. S., Yang, H., et al., 2017. Risk Assessment of Zhouqu Xieliupo Landslide Based on Reliability Analysis in Zhouqu County of Gansu Province. Mountain Research, 35(3): 323-331 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-SDYA201703010.htm

Liu, X. J., Zhao, C. Y., Zhang, Q., et al., 2020. Heifangtai Loess Landslide Type and Failure Mode Analysis with Ascending and Descending Spot-Mode TerraSAR-X Datasets. Landslides, 17(1): 205-215. https://doi.org/10.1007/s10346-019-01265-w

Lu, H. Y., Li, W. L., Xu, Q., et al., 2019. Early Detection of Landslides in the Upstream and Downstream Areas of the Baige Landslide, the Jinsha River Based on Optical Remote Sensing and InSAR Technologies. Geomatics and Information Science of Wuhan University, 44(9): 1342-1354 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-WHCH201909011.htm

Meng, Q. K., Confuorto, P., Peng, Y., et al., 2020. Regional Recognition and Classification of Active Loess Landslides Using Two-Dimensional Deformation Derived from Sentinel-1 Interferometric Radar Data. Remote Sensing, 12(10): 1541. https://doi.org/10.3390/rs12101541

Sun, Q., Zhang, L., Ding, X. L., et al., 2015. Slope Deformation Prior to Zhouqu, China Landslide from InSAR Time Series Analysis. Remote Sensing of Environment, 156: 45-57. https://doi.org/10.1016/j.rse.2014.09.029

Wasowski, J., Bovenga, F., Dijkstra, T., et al., 2014. Persistent Scatterers Interferometry Provides Insight on Slope Deformations and Landslide Activity in the Mountains of Zhouqu, Gansu, China. Landslide Science for a Safer Geoenvironment, 2: 359-364. https://doi.org/10.1007/978-3-319-05050-8_56

Xu, Q., 2020. Understanding and Consideration of Related Issues in Early Identification of Potential Geohazards. Geomatics and Information Science of Wuhan University, 1-11 (in Chinese with English Abstract). https://doi.org/10.13203/j.whugis20200043

Xu, Q., Dong, X. J., Li, W. L., 2019. Integrated Space-Air-Ground Early Detection, Monitoring and Warning System for Potential Catastrophic Geohazards. Geomatics and Information Science of Wuhan University, 44(7): 957-966 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-WHCH201907002.htm

Yalvac, S., 2020. Validating InSAR-SBAS Results by Means of Different GNSS Analysis Techniques in Medium- and High-Grade Deformation Areas. Environmental Monitoring and Assessment, 192(2): 1-12. https://doi.org/10.1007/s10661-019-8009-8

Zhang, L., Liao, M. S., Dong, J., et al., 2018. Early Detection of Landslide Hazards in Mountainous Areas of West China Using Time Series SAR Interferometry-A Case Study of Danba, Sichuan. Geomatics and Information Science of Wuhan University, 43(12): 2039-2049 (in Chinese with English Abstract) http://www.researchgate.net/publication/331482885_Early_Detection_of_Landslide_Hazards_in_Mountainous_Areas_of_West_China_Using_Time_Series_SAR_Interferometry-A_Case_Study_of_Danba_Sichuan

Zhang, X., 2012. Study on Stability and Deformation Damage Mechanism of the Suoertou Landslide in Zhouqu County Gansu Province: [Dissertation]. Chengdu University of Technology, Chengdu (in Chinese with English Abstract)

Zhang, Y., 2018. Detecting Ground Deformation and Investigating Landslides Using InSAR Technique-Taking Middle Reach of Bailong River Basin as an Example: [Dissertation]. Lanzhou University, Lanzhou (in Chinese with English Abstract)

Zhang, Y., Meng, X. M., Chen, G., et al., 2016. Detection of Geohazards in the Bailong River Basin Using Synthetic Aperture Radar Interferometry. Landslides, 13(5): 1273-1284. https://doi.org/10.1007/s10346-015-0660-8

Zhang, Z. X., Zhang, Q., Tao, J. C., et al., 2012. Climatic and Geological Environmental Characteristics of the Exceptional Debris Flow Outburst in Zhouqu, Gansu Province, on 8 August, 2010. Journal of Glaciology and Geocryology, 34(4): 898-905 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-BCDT201204018.htm

Zhao, C. Y., Liu, X. J., Zhang, Q., et al., 2019. Research on Loess Landslide Identification, Monitoring and Failure Mode with InSAR Technique in Heifangtai, Gansu. Geomatics and Information Science of Wuhan University, 44(7): 996-1007 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-WHCH201907005.htm

Relative Articles

Supplements(0)

Cited By

Proportional views