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| Resource type: | Composite Resource | |
| Storage: | The size of this resource is 38.5 KB | |
| Created: | Feb 07, 2022 at 6:17 p.m. | |
| Last updated: | Mar 14, 2022 at 5:06 a.m.
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| Citation: | See how to cite this resource |
| 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
Subject Keywords
Resource Level Coverage
Spatial
Temporal
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Content
How to Cite
MIT License
Copyright (c) 2022 Tian Gan
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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SOFTWARE.
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