Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding

Burrows, Katy; Marc, Odin; Remy, Dominique

doi:https://doi.org/10.5194/nhess-22-2637-2022

Articles | Volume 22, issue 8

https://doi.org/10.5194/nhess-22-2637-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Estimating and predicting natural hazards and vulnerabilities...

https://doi.org/10.5194/nhess-22-2637-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 8

Research article

|

17 Aug 2022

Research article |

| 17 Aug 2022

Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding

Katy Burrows, Odin Marc, and Dominique Remy

Supplement

https://doi.org/10.5194/nhess-22-2637-2022-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

Copernicus Sentinel data Copernicus https://scihub.copernicus.eu/dhus/#/home

Landsat 8 imagery U.S Geological Survey https://earthexplorer.usgs.gov/

Model code and software

PyGMT: A Python interface for the Generic Mapping Tools L. Uieda, D. Tian, W. J. Leong, M. Jones, W. Schlitzer, L. Toney, M. Grund, J. Yao, Y. Magen, K. Materna, T. Newton, A. Anant, M. Ziebarth, J. Quinn, and P. Wessel https://doi.org/10.5281/zenodo.5607255

KABurrows/Supplement-to-nhess-2022-21: v1.0 (v1.0) K. Burrows https://doi.org/10.5281/zenodo.6984291

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Short summary

The locations of triggered landslides following a rainfall event can be identified in optical satellite images. However cloud cover associated with the rainfall means that these images cannot be used to identify landslide timing. Timings of landslides triggered during long rainfall events are often unknown. Here we present methods of using Sentinel-1 satellite radar data, acquired every 12 d globally in all weather conditions, to better constrain the timings of rainfall-triggered landslides.