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The challenge to use multi-temporal InSAR for landslide early warning

Author

Listed:
  • Matthias Schlögl

    (University of Natural Resources and Life Sciences
    Zentralanstalt für Meteorologie und Geodynamik)

  • Karlheinz Gutjahr

    (Joanneum Research)

  • Sven Fuchs

    (University of Natural Resources and Life Sciences)

Abstract

Satellite radar interferometry is a powerful tool for measuring displacements of the Earth’s surface. However, we recommend to extend the currently prevailing focus on ex-post analyses and monitoring towards ex-ante early warning applications. Underlying challenges and key requirements are discussed.

Suggested Citation

  • Matthias Schlögl & Karlheinz Gutjahr & Sven Fuchs, 2022. "The challenge to use multi-temporal InSAR for landslide early warning," 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. 112(3), pages 2913-2919, July.
    • Handle: RePEc:spr:nathaz:v:112:y:2022:i:3:d:10.1007_s11069-022-05289-9
    DOI: 10.1007/s11069-022-05289-9
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    References listed on IDEAS

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    1. Vasilis Dakos & Stephen R Carpenter & William A Brock & Aaron M Ellison & Vishwesha Guttal & Anthony R Ives & Sonia Kéfi & Valerie Livina & David A Seekell & Egbert H van Nes & Marten Scheffer, 2012. "Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-20, July.
    2. I. P. Kovács & T. Bugya & Sz. Czigány & M. Defilippi & D. Lóczy & P. Riccardi & L. Ronczyk & P. Pasquali, 2019. "How to avoid false interpretations of Sentinel-1A TOPSAR interferometric data in landslide mapping? A case study: recent landslides in Transdanubia, Hungary," 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. 96(2), pages 693-712, March.
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    Cited by:

    1. Zhike Zhang & Ping Duan & Jia Li & Deying Chen & Kang Peng & Chengpeng Fan, 2023. "A time-series InSAR processing chain for wide-area geohazard identification," 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. 118(1), pages 691-707, August.

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