DeFyre| Spot That Fire V2.0

Project Details

The Challenge | Spot That Fire V2.0

Your challenge is to create an application that leverages NASA's near-real-time and archival wildfire datasets along with other tools to support firefighting and fire mitigation efforts. This challenge builds on last year’s challenge of the same name by calling for innovative ideas and apps that focus on how to engage and enable citizens to assist with the entire firefighting and fire mitigation process.

App.oy

App.oy is an app that enables volunteers to help and collaborate with the fire department in wildfire and urban fire suppresion.

App.oy (Tagalog word for 'Fire' in Tagalog) is an app that performs certain actions when a fire is detected, and can possibly predict fires and its possible growth based from years of archived satellite data.

It has features that can predict thermal anomalies using NASA satellite data (MODIS and VIIRS), see active volunteers near the area, a fire map that sees fires near the user and its trends, and its main feature is to predict fires using given data that was reported by people in the vicinity, which is achievable through SMS or forms that require a data connection.

Resources Used:

Python Programming Language and Libraries - https://www.python.org/

React Native - https://facebook.github.io/react-native/

Pycharm - https://www.jetbrains.com/pycharm/

Django - https://www.djangoproject.com/

MySQL - https://www.mysql.com/

FIRMS (MODIS + VIIRS visualization) - https://firms.modaps.eosdis.nasa.gov/

Node.JS - https://nodejs.org/en/

MODIS - https://aqua.nasa.gov/


Github Repository: https://github.com/johnengelo/app.oy