0202410160223

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Revision as of 02:54, 16 October 2024 by Hhyldmo (talk | contribs) (Created page with "{{item |title=Noburn |type_parameter=management/monitoring |description_parameter=NOBURN is an exciting national citizen science project that is helping us learn more about what is driving bushfires so we can predict these factors. Around the country, NOBURN allows everyone who wants to, to record evidence of possible forest danger with nothing more than a smartphone. The NOBURN app allows us to gauge the risk of fire from citizen photo uploads and descriptions. Infor...")
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Noburn Description: NOBURN is an exciting national citizen science project that is helping us learn more about what is driving bushfires so we can predict these factors. Around the country, NOBURN allows everyone who wants to, to record evidence of possible forest danger with nothing more than a smartphone.

The NOBURN app allows us to gauge the risk of fire 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: 0202410160223
Dates

State ongoing
Start 2021-01-01
Form updated 2024-10-16

Report authors
Håkon da Silva Hyldmo (link)
0000-0002-7514-6878
Main report author
Location
Australia
Aims
Create nationwide database of forest evidence to pick-up seasonal changes over time
Use the database to predict likelihood, severity, and extent of potential forest fires
Category
management/monitoring

Inputs

organisation

University of the Sunshine Coast


Task: Development of app and running of project
individual

Undisclosed citizen scientists


Task: Installing the app, taking pictures of forests, and submitting these with comments
Compensation: volunteer
funding

(link)


500,000 (Australian dollar)

Australian Government Citizen Science Grant

Outputs and impacts

dataset (open)

Dataset for preventing forest fires


Impact: Dataset being developed, impact unknown
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