Data Component Use Case for Landslide Susceptibility Calculation

This repository includes a Jupyter Notebook which demonstrates 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.

This Jupyter Notebook is part of the work for a research paper "CSDMS Data Components: data-model integration tools for Earth surface processes modeling".

Notebook Citation

Gan, T., Campforts, B., Tucker, G. E., Overeem, I. (2023). Data Component Use Case for Landslide Susceptibility Calculation, HydroShare, https://doi.org/10.4211/hs.df5fa2f5d1b74be4bf0a049e1e59889c

Run the Notebook

You can choose the following methods to run this Jupyter Notebook:

Method 1: HydroShare

Please go to the HydroShare Resource and follow the instruction in the "Abstract" section to run this notebook.

Method 2: CSDMS

Please go to the CSDMS EKT Lab and follow the instruction in the "Lab notes" section to run this notebook.

Method 3: Local PC

Please first download all the files from this repository and have conda installed on the local PC. Then, use the following commands to create a virtual environment and launch the Jupyter Notebook. The code below works best on Mac OS or Linux and may cause some errors on Windows.

$ cd landslide_usecase
$ conda env create --file=environment.yml
$ conda activate landslide_usecase
$ jupyter notebook