Landslide susceptibility is the likelihood of a landslide occurring in an area on the basis of local terrain condition to estimate “where” landslides are likely to occur. This repo includes a Jupyter Notebook to demonstrate how to use several CSDMS data components to download topography and soil datasets to calculate the landslide susceptibility for a study area in Puerto Rico when Hurricane Maria hit the island on September 20th, 2017.

If you have any suggestion to improve this notebook, please create a github issue here.

Run Notebook

You can test and run this Jupyter Notebook through HydroShare or on your local PC.

Suggested Citation

Gan, T., Campforts, B., Tucker, G. E., Overeem, I. (2022). Data Component Use Case for Landslide Susceptibility Calculation, HydroShare, https://www.hydroshare.org/resource/df5fa2f5d1b74be4bf0a049e1e59889c/