Data Component Use Case for Landslide Susceptibility Calculation


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Resource type: Composite Resource
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Created: Feb 07, 2022 at 6:17 p.m.
Last updated: Mar 14, 2022 at 5:06 a.m.
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Sharing Status: Public
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Abstract

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 resource includes a Jupyter Notebook to demonstrate how to use several CSDMS data components (https://csdms.colorado.edu/wiki/DataComponents) to download topography and soil datasets to calculate the hourly landslide susceptibility for a study area in Puerto Rico when Hurricane Maria hit the island on September 20th, 2017.

HydroShare users can test and run the Jupyter Notebook (landslide_puertorico.ipynb) directly through the "CUAHSI JupyterHub" web app with the following steps:
- click on the "Open with" button. (on the top right corner of the page)
- select "CUAHSI JupyterHub". (Need to join the CUAHSI JupyterHub group for the first time web app user.)
- select "CSDMS Workbench" server option. (Make sure to select the right server option.)

If you have any suggestion to improve this notebook, please create a Github issue at https://github.com/gantian127/landslide_usecase/issues

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
18.4000°
East Longitude
-66.2000°
South Latitude
18.0000°
West Longitude
-66.8000°

Temporal

Start Date:
End Date:

Content

How to Cite

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

MIT License

Copyright (c) 2022 Tian Gan

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