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

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

Copernicus Sentinel data Copernicus

Landsat 8 imagery U.S Geological Survey

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

KABurrows/Supplement-to-nhess-2022-21: v1.0 (v1.0) K. Burrows

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.
Final-revised paper