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We have created a highly efficient landslide susceptibility algorithm through 1700 instances from 2007-2016 and worked on triggers, timestamps and more to create a machine learning algorithm on landslide predictions. The project is a subset of complete habitation distribution project called Shelter.

How We Used Space Agency Data in This Project:

Landslide Instances: https://data.nasa.gov/Earth-Science/Global-Landslide-Catalog/h9d8-neg4

Landslide Fatalities:https://maps.nccs.nasa.gov/arcgis/apps/webappviewer/index.html?id=824ea5864ec8423fb985b33ee6bc05b7

Landslide Trigger Calculations: https://www.nasa.gov/mission_pages/GPM/main/index.html and https://trmm.gsfc.nasa.gov/

Sub-setting data: https://giovanni.gsfc.nasa.gov/giovanni/

Labelling data: https://labeler.nasa-impact.net/

Source Code: https://github.com/adibahnaf/Shelter

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