Articles | Volume 25, issue 12
https://doi.org/10.5194/nhess-25-4755-2025
https://doi.org/10.5194/nhess-25-4755-2025
Research article
 | 
01 Dec 2025
Research article |  | 01 Dec 2025

Using network science to evaluate landslide hazards on Big Sur Coast, California, USA

Vrinda D. Desai, Alexander L. Handwerger, and Karen E. Daniels

Data sets

Data from: Using network science to evaluate vulnerability of landslides on Big Sur Coast, California, USA Vrinda D. Desai et al. https://doi.org/10.5061/dryad.1jwstqk42

Copernicus Digital Elevation Model Copernicus https://doi.org/10.5270/ESA-c5d3d65

Model code and software

vddesai-97/networkLandslide: Publisher V. Desai https://doi.org/10.5281/zenodo.17643432

Download
Short summary
Landslide events occur when soil, rock, and debris on slopes become unstable and move downhill, often triggered by heavy rain that reduces friction. Our research evaluates landslide vulnerability using a method that analyzes the spatiotemporal dynamics of landslide-prone areas. We've developed a statistical metric to track changing conditions in these regions. This approach can aid in early warning systems, helping communities and authorities take preventive measures and minimize damage.
Share
Altmetrics
Final-revised paper
Preprint