High Resolution Rapid Revisit InSAR Monitoring of Surface Deformation

被引:12
|
作者
Singhroy, Vernon [1 ]
Li, Junhua [1 ]
Charbonneau, Francois [1 ]
机构
[1] Nat Resources Canada, Canada Ctr Remote Sensing, 588 Booth St, Ottawa, ON K1A 0Y7, Canada
关键词
INVESTIGATING LANDSLIDES; HERSCHEL ISLAND; INTERFEROMETRY; ALBERTA;
D O I
10.1080/07038992.2015.1104638
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This article provides temporal guidelines for the RADARSAT Constellation Mission (RCM) data acquisitions on several active high-risk surface deformation sites in Canada. The RCM will be tasked by several high-priority users and conflicts in acquisitions needed to be carefully resolved. Monitoring the deformation process on several representative sites, we can target our 4-day interferometric synthetic aperture radar (InSAR) acquisition plan for the future RCM. We provide examples of high-resolution (1-3 m) InSAR measurements for monitoring high-risk landslides affecting transportation and energy corridors, as well as surface deformation related to the steam injection process of extracting oil at the oil sands area. For all of these sites, we recommend specific temporal acquisition parameters for different deformation behaviors related to different landslide triggering mechanisms and oil extraction. The high-resolution InSAR images are effective in characterizing differential motion within these low-velocity landslides. Our results show that rapid revisit InSAR acquisitions are required during the combined wet spring and storm events for coastal landslides. Highly fractured slow-moving landslides along railway corridors require InSAR acquisitions throughout the year. Permafrost-triggered landslides affecting pipeline corridors require acquisitions during the peak summer thaw season. Deformation triggered by steam injection over the oil sands requires high-resolution constant rapid revisit monitoring during the steaming and extraction periods.
引用
收藏
页码:458 / 472
页数:15
相关论文
共 50 条
  • [41] Research on the monitoring and inversion of different-scale complex surface deformation with multi-temporal InSAR
    Liu Y.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2020, 49 (07): : 935
  • [42] Surface Deformation Monitoring in Zhengzhou City from 2014 to 2016 Using Time-Series InSAR
    Zhang, Zhengjia
    Wang, Chao
    Wang, Mengmeng
    Wang, Ziwei
    Zhang, Hong
    REMOTE SENSING, 2018, 10 (11):
  • [43] InSAR, a tool for measuring Earth's surface deformation
    Pritchard, Matthew E.
    PHYSICS TODAY, 2006, 59 (07) : 68 - 69
  • [44] Identification of Surface Deformation in InSAR Using Machine Learning
    Brengman, Clayton M. J.
    Barnhart, William D.
    GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2021, 22 (03)
  • [45] High resolution surface studies of superplastic deformation in shear and tension
    Rust, M. A.
    Todd, R. I.
    MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK, 2008, 39 (4-5) : 289 - 292
  • [46] Editorial: InSAR crustal deformation monitoring, modeling and error analysis
    Chen, Yu
    Xia, Junshi
    Yu, Chen
    Chen, Bingqian
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [47] On the deformation monitoring based on integrating InSAR with GPS for expressway/goaf
    Rui, Yong-Qin
    Chen, Jia-Yi
    Ding, Xiao-Li
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2010, 31 (12): : 1773 - 1776
  • [48] Dam Structure Deformation Monitoring by GB-InSAR Approach
    Qiu, Zhiwei
    Jiao, Minglian
    Jiang, Tinchen
    Zhou, Li
    IEEE ACCESS, 2020, 8 : 123287 - 123296
  • [49] Applied Research on InSAR and GPS Data Fusion in Deformation Monitoring
    Zhang, Ziwen
    Wang, Xuelian
    Wu, Yongdong
    Zhao, Zengpeng
    Yang, E.
    SCIENTIFIC PROGRAMMING, 2021, 2021
  • [50] Monitoring ground deformation in the Hangjiahu Plain using InSAR technique
    Wu, Hong'an
    Zhang, Yonghong
    Luo, Guangfei
    Mao, Weihua
    Kang, Yonghui
    Zhu, Yanmin
    MIPPR 2015: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2015, 9815