Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-481-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-481-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Feb 2022
Research article |
| 16 Feb 2022
| 16 Feb 2022
Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping
David G. Milledge
CORRESPONDING AUTHOR
School of Engineering, Newcastle University, Newcastle upon Tyne, UK
Dino G. Bellugi
Department of Geography, University of California, Berkeley, Berkeley, CA, USA
Jack Watt
Institute of Hazard, Risk and Resilience, Durham University, Durham, UK
Department of Geography, Durham University, Durham, UK
Alexander L. Densmore
Institute of Hazard, Risk and Resilience, Durham University, Durham, UK
Department of Geography, Durham University, Durham, UK
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When cloud cover obscures optical satellite imagery, there are two options remaining for generating information on earthquake-triggered landslide locations: (1) models which predict landslide locations based on, e.g., slope and ground shaking data and (2) satellite radar data, which penetrates cloud cover and is sensitive to landslides. Here we show that the two approaches can be combined to give a more consistent and more accurate model of landslide locations after an earthquake.
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Satellite radar could provide information on landslide locations within days of an earthquake or rainfall event anywhere on Earth, but until now there has been a lack of systematic testing of possible radar methods, and most methods have been demonstrated using a single case study event and data from a single satellite sensor. Here we test five methods on four events, demonstrating their wide applicability and making recommendations on when different methods should be applied in the future.
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Short summary
Earthquakes can trigger thousands of landslides, causing severe and widespread damage. Efforts to understand what controls these landslides rely heavily on costly and time-consuming manual mapping from satellite imagery. We developed a new method that automatically detects landslides triggered by earthquakes using thousands of free satellite images. We found that in the majority of cases, it was as skilful at identifying the locations of landslides as the manual maps that we tested it against.
Earthquakes can trigger thousands of landslides, causing severe and widespread damage. Efforts...
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