Früher|Nächster

Landslide hazard detection in Markam with time-series InSAR analyses

  • role： First author第一作者
  • Affiliation：

    Southwest Section of State Grid Corporation of China, Chengdu 610041, China

  • Email：addywhu@126.com
  • Introduction：张亚迪，1981年生，男，教授级高级工程师，研究方向为电网建设运行管理。E-mail：addywhu@126.com
ZHANG Yadi1,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

LI Yudong2,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

DONG Jie2,  
  • Affiliation：

    Southwest Section of State Grid Corporation of China, Chengdu 610041, China

FAN Qiang1,  
  • Affiliation：

    Southwest Section of State Grid Corporation of China, Chengdu 610041, China

CHE Bin1,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

  • Email：luzhang@whu.edu.cn
  • Introduction：张路，1975年生，男，教授，研究方向为雷达遥感技术及应用。E-mail：luzhang@whu.edu.cn
ZHANG Lu2*,  
  • Affiliation：

    Beijing North-Star Digital Remote Sensing Technology Co. Ltd, Beijing 100120, China

ZHOU Yang3,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

LIAO Mingsheng2

Resümee

In recent years, geological disasters like landslides have often occurred within the Markam area, which is located in the southeastern part of Tibet Autonomous Region. The stability of these landslides is affected by factors such as physical geographical/meteorological conditions and anthropogenic activities. These factors pose great threats to power grid construction/operation, major transportations, and public security. Hence, effective technologies are needed to detect potential landslide hazards within this area and provide key supports for decision making regarding disaster prevention and reduction. This study employed the small baseline subset InSAR technique to process archived SAR data stacks acquired by ALOS PALSAR and ENVISAT ASAR covering the Markam area. A few suspected landslide hazard sites are identified along National Highway 318 and the Valley of Jinsha River. Spatial distribution and temporal evolution patterns of the surface displacements upon these unstable slopes are characterized.

Schlüsselwort

remote sensing;landslide detection;InSAR;SBAS;time series analysis;displacement characters

References

  1. 1.
    Berardino P, Fornaro G, Lanari R and Sansosti E. 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
  2. 2.
    Chen C J, Xue C S and Yu S H. 2004. Identification of geological hazards with remote sensing in the Motuo, Tibet. Journal of Engineering Geology, 12(1): 57–62
  3. 3.
    Ferretti A, Prati C and Rocca F. 2000. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 38(5): 2202–2212
  4. 4.
    Hooper A, Zebker H, Segall P and Kampes B. 2004. A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers. Geophysical Research Letters, 31(23): L23611
  5. 5.
    Huang R Q and Xu Q, 2008. Catastrophic Landslides in China. Beijing: Science Press
  6. 6.
    Li Y, Meng H, Dong Y and Hu S E. 2004. Main types and characterisitics of geo-hazard in China-based on the results of geo-hazard survey in 290 counties. The Chinese Journal of Geological Hazard and Control, 15(2): 29–34
  7. 7.
    Liao M S and Wang T. 2014. Time Series InSAR Technology and Application. Beijing: Science Press
  8. 8.
    Shi X G. 2016. Monitoring Method and Application of Landslide Surface Deformation Based on Spaceborne Radar Remote Sensing. Wuhan: Wuhan University
  9. 9.
    Wang F W and Li T L. 2009. Landslide Disaster Mitigation in Three Gorges Reservoir, China. Berlin Heidelberg: Springer-Verlag.
  10. 10.
    Wang P Q and Li P M. 2002. Analysis of geological disasters in southeast Tibet. Advances in Science and Technology of Water Resources, 22(4): 21–22, 62
  11. 11.
    Yang Z F, Shang Y G, Zhang L Q and Xu B. 2006. Study on the Geological Disaster of Sichuan-Tibet Highway and Its Prevention and Control Countermeasures: A Case Study of the Basu-Nyingchi Section. Beijing: Science Press
  12. 12.
    Zhang M H. 2004. A remote sensing survey of geological disasters of Motuo County highway in Tibet. Highway(5): 91–96

Lesen Sie die ganze Passage

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website