FireCast| Spot That Fire V2.0
Project Details
Awards & Nominations
FireCast has received the following awards and nominations. Way to go!
Global Nominee
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.
FireCast
Wildfire prediction and fire alert application
About Firecast
Wildfires cause huge environmental and financial losses. In this year we watched a record of burnt forests around the world, demanding a lot of resources to control the fire.
So, if we could predict the fire before it happens we could detect and fight faster! This is what Firecast does, predicting the probability of fire hazard, and communicating authorities and the people about the risk.
To be able to make predictions, the application was built using machine learning from historical data of fire history and weather records.
Firecast, predict to fight faster!
Resources Used
- Near Real Time Active Fire: https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/active-fire-data
- Hourly Weather Surface Brazil Southeast Region: https://www.kaggle.com/PROPPG-PPG/hourly-weather-s...