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.

FIRE WATCH

FIRE WATCH is a web app aimed at predicting the growth of forest fires.

Project Github: https://github.com/siddh991/NASA-CSA-Hackathon/tree/master

We are a group of data scientist co-ops and we came here determined to apply our skills to a problem that could change the lives of many people around the world. With this in mind we decided to create a fire growth algorithm. Using a neural network and real time satellite and weather data we were able to predict the growth of fires. Our biggest problem was collecting enough data in time to train our model, but here we are with a working project.

Resources:

Forest Fire Database: https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms

Weather API: https://darksky.net/dev

Images: sentinesat (Sentinel2 Image API for python) https://pypi.org/project/sentinelsat/

NDVI: Alex (Skywatch)

Skywatch team in general they provided so much help with everything so thank you very much.