Integrating empirical models and satellite radar can  improve landslide detection for emergency response

Burrows, Katy; Milledge, David; Walters, Richard J.; Bellugi, Dino

doi:https://doi.org/10.5194/nhess-21-2993-2021

Articles | Volume 21, issue 10

https://doi.org/10.5194/nhess-21-2993-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-2993-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 10

Research article

|

07 Oct 2021

Research article |

| 07 Oct 2021

Integrating empirical models and satellite radar can improve landslide detection for emergency response

Katy Burrows, David Milledge, Richard J. Walters, and Dino Bellugi

Supplement

https://doi.org/10.5194/nhess-21-2993-2021-supplement

Data sets

Map data of landslides triggered by the 25 April 2015 Mw 7.8 Gorkha, Nepal earthquake K. Roback, M. K. Clark, A. J. West, D. Zekkos, G. Li, S. F. Gallen, D. Champlain, and J. W. Godt https://doi.org/10.5066/F7DZ06F9

Characteristics of landslides triggered by the 2018 Hokkaido Eastern Iburi earthquake, Northern Japan S. Zhang, R. Li, F. Wang, and A. Iio https://doi.org/10.5281/zenodo.2577300

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Short summary

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.