Project Details

Awards & Nominations

NasaOnFire has received the following awards and nominations. Way to go!

Local Peoples' Choice Winner
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.

FireWatch

An app to get people and fireman together, allowing faster firefighting and providing useful preemptive and how-to-proceed information.

NasaOnFire

Every 79 seconds, a domestic fire ocurrs in the USA.

In Brazil, more than 1000 deaths by fire happen every year.

We're NasaOnFire and we created firewatch, an app that connects the society and firefighters in order to combat fires as fast as possible. The main solution used nowadays (911) is really inneficient and it does delay the action on the emergency areas. Our solution connects people and fireman directly, with a clear view on where the fireman should go.

The app was conceived with the idea of "the action must be really fast". With this in mind, we built our designs with intuitive interfaces for faster information providing.

The app has two main modes: user mode and fireman mode.

In the user mode, people can report fires in their location, or see if there's any danger in their neighborhood. Also, the user mode provides information on how to proceed in these situations.

In the fireman mode, they can receive reports in a rank, based on many variables, as proximity and number of reports per area. We also include information provided by FIRMS (Fire Information for Resource Management System, by NASA) to detect larger fires in near real time, in order to have even more information on the affected areas. Data provided by local sensors, local temperature and electric installations (with FIRMS data) could be a great source for a machine learning system to even predict fires on certain locations.

The rank system and FIRMS information help us to prevent hoaxes and provide a trustable source of information.

The group used Adobe XD for prototyping and the implementation was made on React Native and Firebase plataforms. The progress was all documented in GitHub (https://github.com/salanho/nasaOnFire)