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Predict landslides using logistic regression, xgboost, and neural network.

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CAPP 30254 Final Project

In this project, we used precipitation, wildfires, and elevation data to build a predictive model of landslides.

Note: All data has been removed from the repository. Please re-fork to update old versions of the repo. All data for the project can be found in the links below.

Data

Landslides

https://maps.nccs.nasa.gov/arcgis/apps/MapAndAppGallery/index.html?appid=574f26408683485799d02e857e5d9521

Precipitation / weather

https://openweathermap.org/api

https://psl.noaa.gov/data/gridded/data.gpcc.html

Elevation

US: https://portal.opentopography.org/apidocs/#/Public/getGlobalDem

US 1 meter: https://catalog.data.gov/dataset/1-meter-digital-elevation-models-dems-usgs-national-map-3dep-downloadable-data-collection

Global: https://portal.opentopography.org/apidocs/#/Public/getGlobalDem

https://registry.opendata.aws/copernicus-dem/

Vegetation / Satellite

https://search.earthdata.nasa.gov/search

https://scihub.copernicus.eu/

https://registry.opendata.aws/sentinel-2/#:~:text=The%20Sentinel%2D2%20mission%20is,use%20in%20on%2Dgoing%20studies.

Water features

https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-rivers-lake-centerlines/

Seismic activity

https://earthquake.usgs.gov/earthquakes/search/

preventative measures?

Literature

https://www.sciencedirect.com/science/article/pii/S0013795220317737#:~:text=Landslide%20displacement%20prediction%20approaches%20can%20be%20categorized%20into,relationship%20between%20influencing%20factors%20and%20deformation%20is%20nonlinear

https://earthobservatory.nasa.gov/images/147542/mapping-landslide-hazards-in-central-america

https://appliedsciences.nasa.gov/what-we-do/disasters/inside-disasters

https://earthdata.nasa.gov/learn/toolkits/disasters-toolkit/landslides-toolkit

https://daac.ornl.gov/cgi-bin/dataset_lister.pl?p=21

https://gpm.nasa.gov/applications/landslides#modelingandreportinglandslides

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

Other code

https://github.com/vightel/ojo-bot/tree/master/python

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