Providing a proof of concept for using machine learning and multi-source data, including near real-time satellite inputs, to enhance flood intelligence for the NSW State Emergency Service and support live decision-making tools for response planners.

Empowering bushfire managers to efficiently monitor the moisture content of bushfire fuel using cost-effective Internet of Things sensors.

AI enabled translation of hazard warnings for Australian residents who speak English as second language.

A wireless rain gauge that uses everyday mobile signals to deliver near real-time rainfall data for disaster preparedness.

Utilising novel lightning detectors to allow fire agencies to efficiently target High Risk Lightning (HRL) strikes.

Aiming to supplement a variety of new tools for improving visibility with an additional source of visual information to fire services that leverages existing infrastructure owned by Sydney Water and autonomous drone technology.

A feasibility study to develop an unpowered air-to-ground vehicle with a communications payload for on-demand emergency networks.