WHEN: Tuesday, 9 December 2025 @ 9.30am
WHERE: The University of Southern Queensland, Brisbane CBD Campus, 293 Queen St BRISBANE QLD 4000

Collaborating to build a more resilient Queensland through Earth observation

Queensland faces more floods and severe weather events than any other Australian state, with significant impacts on communities, infrastructure, and the environment. Earth observation (EO) is becoming a critical tool in improving preparedness, coordination, and recovery across the state.

From mapping flood extent and storm impacts to tracking coastal change and post-disaster recovery, EO provides the insights needed to reduce risk and strengthen resilience. Advances in EO sensors, and the growing ubiquity of drones and AI technologies, are expanding what’s possible while offering faster, more accurate and locally relevant information to support response and planning.

With a focus on collaboration and innovation, this hands-on workshop will bring together emergency management professionals, researchers and industry partners to identify and prioritise opportunities for applying EO to disaster risk management in Queensland. It will explore current challenges, co-design practical solutions, and identify funding pathways to turn ideas into action.

Participants
We invite emergency management and disaster resilience professionals across industry and government with challenging large-scale problems to solve alongside researchers and Earth observation industry practitioners with the expertise and capabilities to present innovative solutions.

Outcomes
The workshop will solicit challenges and opportunities for EO in the Disaster Risk Management domain, with a focus on flooding and severe weather events. Participants will be encouraged to explore partnerships and consider funding opportunities available through research funding and government programs.

We welcome you to register for this in-person workshop, and to circulate this invitation to anyone who would benefit from taking part.

For more information contact Queensland EO Hub Coordinator Gavin Kennedy at [email protected]

WHEN: Tuesday, 22 July 2025 @ 10.00am
WHERE: 111 George St, Brisbane City, QLD 4000

This event brought together EO Hub participants, government representatives, and industry leaders to highlight project impacts and outcomes, while exploring new opportunities and connecting with potential partners.

WHEN: Thursday, 22 August 2024 @ 9.00am – 1.00pm
WHERE: The University of Southern Queensland CBD Campus
293 Queen Street Ground level Brisbane City, QLD 4000

The School of Surveying and Built Environment at the University of Southern Queensland and the Queensland Earth Observation Hub are thrilled to host a transformative workshop on Thursday, 22 August 2024, aimed at advancing post-graduate studies in remote sensing and Earth observation. This unique event brings together leaders from industry, government, and academia to shape the future of post-graduate Earth observation programs.

WHEN: Wednesday, 15 May 2024 @ 9.30am – 2.00pm
WHERE: Hamon Centre, The University of Queensland
(Gatton Campus) 5391 Warrego Hwy, Gatton QLD 4343

Identify new opportunities for Queensland in crop productivity through advances in Earth observation technologies. This workshop will bring together industry and research stakeholders in both the agriculture and Earth observation value chains to identify and prioritise the opportunities for applying Earth observation technologies to the Queensland agriculture sector, the challenges in realizing these opportunities, and the industry focused initiatives that will capitalise on them.

Earth observation has the opportunity to play a more significant role in Queensland’s mining activities. From pre-mining exploration through to post mining rehabilitation, satellite earth observation can deliver innovation and efficiencies in discovery, assessment, and monitoring. New technologies and new datasets present new opportunities across these activities, including synthetic aperture radar imaging, hyperspectral imaging, and machine learning models and tools for analysing the images.