Skip to Main content Skip to Navigation
Journal articles

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

Abstract : Information on the spatial distribution of triggered landslides following an earthquake is invaluable to emergency responders. Manual mapping using optical satellite imagery, which is currently the most common method of generating this landslide information, is extremely time consuming and can be disrupted by cloud cover. Empirical models of landslide probability and landslide detection with satellite radar data are two alternative methods of generating information on triggered landslides that overcome these limitations. Here we assess the potential of a combined approach, in which we generate an empirical model of the landslides using data available immediately following the earthquake using the random forest technique and then progressively add landslide indicators derived from Sentinel-1 and ALOS-2 satellite radar data to this model in the order they were acquired following the earthquake. We use three large case study earthquakes and test two model types: first, a model that is trained on a small part of the study area and used to predict the remainder of the landslides and, second, a preliminary global model that is trained on the landslide data from two earthquakes and used to predict the third. We assess model performance using receiver operating characteristic analysis and r2, and we find that the addition of the radar data can considerably improve model performance and robustness within 2 weeks of the earthquake. In particular, we observed a large improvement in model performance when the first ALOS-2 image was added and recommend that these data or similar data from other L-band radar satellites be routinely incorporated in future empirical models.
Document type :
Journal articles
Complete list of metadata

https://hal-insu.archives-ouvertes.fr/insu-03661459
Contributor : Nathalie POTHIER Connect in order to contact the contributor
Submitted on : Saturday, May 7, 2022 - 8:23:48 AM
Last modification on : Monday, July 4, 2022 - 9:09:11 AM
Long-term archiving on: : Monday, August 8, 2022 - 6:05:26 PM

File

nhess-21-2993-2021.pdf
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

Katy Burrows, David Milledge, Richard J. Walters, Dino Bellugi. Integrating empirical models and satellite radar can improve landslide detection for emergency response. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2021, 21, pp.2993-3014. ⟨10.5194/nhess-21-2993-2021⟩. ⟨insu-03661459⟩

Share

Metrics

Record views

20

Files downloads

2