sat-ELITE| 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.
SKY EYE: The automated alert and volunteering coordination system
Sky Eye uses NASA's Active Fire API to send an automated SMS to residents in danger from a fire, trigger a bot that posts to social media, and leverages existing platforms to coordinate volunteering efforts
- Satellite
* Uses Infrared light to create a temperature map of the planet and sends data back to earth. - NASA FIRMS
* Active Fire API analyzes data and provides an endpoint for our web application with exact coordinates where fires are detected along with a confidence level for each.
https://nrt4.modaps.eosdis.nasa.gov/archive/FIRMS/viirs/USA_contiguous_and_Hawaii - SKY EYE
* Our Web Service serves as an automated alert system that uses an SMS processor, social networks and existing infrastructure to alert residents in danger and coordinate volunteering efforts in case of a disaster - Automated SMS Processor
* Users enroll to receive fire updates near them using their ZIP code
* Alerts people in danger even in places where 4G/LTE networks are not available (like forests)
* Keeps users up-to-date as fire spreads or dies down - Automated Emergency Social Networking
* Automated alert updates are posted when a fire begins through a Twitter Bot
* Tracks fire updates in case it spreads
* Retweets/reposts from local authorities - Automated Volunteering Coordination Efforts
* Leverages the AirBnb and Uber platforms which can consume alerts from Sky Eye RESTful endpoint.
* AirBnb users can volunteer their place to assist displaced people by fire
* Uber drivers can volunteer to quickly transport people from affected areas
The code is available on Github.