0202410160223
The NOBURN app allows people to gauge the risk for fire via fuel hazard assessments from citizen photo uploads and descriptions. Information supplied by concerned citizens helps researchers understand the structure, quantity, density, and dryness of forest fuels which, with the help of Artificial Intelligence, allows for better prediction of the likelihood, severity, and extent of potential fires.
By recording forest evidence with the NOBURN app, anyone in Australia can provide a unique, time-stamped and geo-referenced data recording, allowing scientists to understand bushfires better. You can, with NOBURN, directly assist with Australia’s disaster resilience, preparedness and response to bushfires. You will be part of the solution!
By creating what will become a nationwide database of forest evidence to document both visual and actual measures of structures, quantities, densities and dryness of forest fuels with a precise and wide geographic coverage, we will enhance our collective ability to pick up seasonal changes over time.STARDIT ID:
0202410160223State ongoing
Start 2021-06-30
Form updated 2025-02-06
0000-0003-0316-3254
Checked report as part of project 'Improving Citizen Science to Benefit Society: A Discussion Paper' -https://stardit.wikimedia.org.au/wiki/0202407220511
0009-0009-0065-3654
Edited report to add Australian Institute for Machine Learning as co-developer of AI powered model for NOBURN app
Inputs
University of the Sunshine Coast
Task: Development of app and running of project
Undisclosed citizen scientists
Task: Installing the app, taking pictures of forests, and submitting these with comments
Compensation: volunteer
Australian Institute for Machine Learning at University of Adelaide (link)
Task: Co-developer of AI-powered app
Compensation: volunteer
Outputs and impacts
Dataset for preventing forest fires
Impact: Dataset being developed, impact unknown