Rock Avalanche Project

This is an application aimed towards predicting the probability of a landslide given two points on a Google Map using Google Earth Engine elevation data. It uses a linear model for learning historical data on landslides and uses that model to predict the probability. The learning algorithm has been implemented in R; the back-end is implemented in Python which calls the learning algorithm through Python subprocess; the front-end is implemented in JS, using Google Earth Engine API.

Please note that this is an alpha stage application, still undergoing development

Run it locally

• Intall dependencies
• Add client ID to app.js from Google Developer Console
• Add URL to backend to config.js - by default it is http://localhost:8888/
• Run python -m SimpleHTTPServer 8080 inside the www folder from bash/Terminal (This will start serving the front end on port 8080; you can change the port to whatever you like)
• Run python probability_calculation.py in the root folder from bash/Terminal
• Navigate to http://localhost:8080/ and use the app (given the front end is running on port 8080 from the third step)