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Help Solve Australia’s Challenges with AI and Satellite Imagery

Sebastien Wong 14 Jul 2020 2 minute read

Maxar Spatial Challenge

The Maxar Spatial Challenge is about to launch! This event is a virtual hackathon to solve Australia’s urban and regional challenges using the world’s highest resolution satellite imagery.  

The Maxar Spatial Challenge aims to solve Australia’s urban and regional challenges.

Two years ago Consilium Technology student-interns, Liam Mellor and Lucas Sargent, participated in the previous hackathon event and won the innovation prize! Their submission was a machine learning system to leverage free low-resolution satellite imagery to fill in the gaps in the availability of high-resolution satellite imagery.  

This time around Consilium Technology has been invited to help host the event. As such, instead of entering this year, we are offering a paid student internship as a prize. In addition, there are thousands of dollars in cash prizes for the winning submissions in both the rural and urban challenge categories.

2020 Spatial Challenge Timeline

June Pre-launch: Submission and Selection of Spatial Challenge

July Phase 1: Pick UR (Urban & Regional) Industry Challenge

July – August Phase 2: Mentoring & Training 

August – September Phase 3: Create Solution 

October Final Phase: Announcement of Winning Entries 

Who should get involved?

The challenge is aimed at researchers, students and entrepreneurs who would like to access the cutting edge space technology and the world’s highest resolution satellite imagery. The challengers will be given access to Maxar tools, including two new geospatial products, as well as training on their usage. Familiarity with geospatial concepts and/or software development would be advantageous, but not required. 

What problems can be solved with satellite imagery?  

One example is automatically mapping crops using AI to measure production capacity for a country. This example is illustrated by a global first (April 2018) that Consilium Technology performed for the Australian Wine Industry,  where we mapped every vineyard on the Australian continent.  This technology has resulted in a subsidiary of Consilium TechnologyGAIA.

Another example is the automation of building damage assessments after bushfires or other disaster events. This is another great example of how AI + satellite imagery could help solve the challenge of rapidly responding to the damage caused by intense Australia bushfires. This type of technology could quickly answer the questions of where recovery resources are best directed in the wake of a disaster event.

Other examples include using satellite imagery for environmental monitoring, infrastructure management, water management, minerals and resources, and smart cities.

Ready to be challenged?

Challengers can register to participate at