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The role of space-based observation in understanding and responding to active tectonics and earthquakes

Author

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  • J.R. Elliott

    (COMET, University of Oxford
    COMET, School of Earth & Environment, University of Leeds)

  • R.J. Walters

    (COMET, School of Earth & Environment, University of Leeds
    Present address: COMET, Department of Earth Sciences, Durham University, Science Labs, Durham DH1 3LE, UK)

  • T.J. Wright

    (COMET, School of Earth & Environment, University of Leeds)

Abstract

The quantity and quality of satellite-geodetic measurements of tectonic deformation have increased dramatically over the past two decades improving our ability to observe active tectonic processes. We now routinely respond to earthquakes using satellites, mapping surface ruptures and estimating the distribution of slip on faults at depth for most continental earthquakes. Studies directly link earthquakes to their causative faults allowing us to calculate how resulting changes in crustal stress can influence future seismic hazard. This revolution in space-based observation is driving advances in models that can explain the time-dependent surface deformation and the long-term evolution of fault zones and tectonic landscapes.

Suggested Citation

  • J.R. Elliott & R.J. Walters & T.J. Wright, 2016. "The role of space-based observation in understanding and responding to active tectonics and earthquakes," Nature Communications, Nature, vol. 7(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13844
    DOI: 10.1038/ncomms13844
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    Cited by:

    1. Endra Gunawan & Ruth Amey & John Elliott & Sri Widiyantoro & Nanang T. Puspito & Nuraini Rahma Hanifa & Syamsuddin & Ekbal Hussain, 2023. "Coseismic deformation of the 19 August 2018 Mw 7.2 Lombok earthquakes, Indonesia, estimated through InSAR and GPS observations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 545-558, October.
    2. Guanchen Zhuo & Keren Dai & Huina Huang & Shengpeng Li & Xianlin Shi & Ye Feng & Tao Li & Xiujun Dong & Jin Deng, 2020. "Evaluating Potential Ground Subsidence Geo-Hazard of Xiamen Xiang’an New Airport on Reclaimed Land by SAR Interferometry," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    3. O. Markogiannaki & A. Karavias & D. Bafi & D. Angelou & I. Parcharidis, 2020. "A geospatial intelligence application to support post-disaster inspections based on local exposure information and on co-seismic DInSAR results: the case of the Durres (Albania) earthquake on November," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3085-3100, September.
    4. Yongsheng Li & Wenliang Jiang & Jingfa Zhang, 2022. "A time series processing chain for geological disasters based on a GPU-assisted sentinel-1 InSAR processor," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 803-815, March.

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