The way we perceive and analyze Earth's surface has reached new heights—literally. Maxar Technologies’ DigitalGlobe, in collaboration with PSMA Australia, embarked on an ambitious mission to map the entire Australian continent from space. The result? Geoscape—the first-ever high-resolution, continent-wide mapping dataset of Australia. This revolutionary project, powered by cutting-edge satellite imagery and artificial intelligence, has transformed geospatial intelligence, providing unmatched insights into Australia’s built environment.
The world is becoming more data-driven than ever, and one of the most ambitious geospatial projects in history has reshaped how we understand Australia’s built environment. In a groundbreaking initiative, Maxar Technologies’ DigitalGlobe partnered with PSMA Australia to create Geoscape, the first-ever high-resolution, continent-wide mapping dataset of Australia. This project marked a significant milestone in geospatial intelligence, leveraging cutting-edge satellite technology and artificial intelligence to deliver unparalleled insights into Australia’s landscape.
In 2016, DigitalGlobe secured a contract to launch this large-scale project, with the first phase completed in April 2016. By 2018, the company had successfully mapped 7.6 million square kilometers of Australian territory, analyzing over 15 million buildings. The primary goal was to provide an accurate, data-rich representation of Australia’s urban landscape, enabling businesses, government agencies and researchers to make data-driven decisions with unprecedented precision.
Geoscape was designed to address a critical gap in Australia’s location data framework: the lack of comprehensive and up-to-date information on the built environment. By delivering detailed, uniform geospatial data, the project aimed to support industries ranging from infrastructure and real estate to emergency services and environmental monitoring.
To accomplish this ambitious mission, DigitalGlobe used its advanced WorldView-3 satellite, equipped with a shortwave infrared (SWIR) sensor. This state-of-the-art satellite allowed analysts to identify building footprints, rooftop structures and other key attributes, such as solar panels and swimming pools. The project leveraged artificial intelligence (AI), machine learning (ML), and cloud computing to process and extract insights from terabytes of high-resolution satellite imagery. By integrating these technologies with crowdsourced data and geospatial analysis, DigitalGlobe transformed raw satellite images into a rich dataset containing 105 property attributes.
The use of AI and ML was particularly crucial in automating the extraction of building footprints, heights, and surface materials from satellite imagery. Without these technologies, such a vast undertaking would have been nearly impossible to complete with traditional manual mapping techniques.
The results of the Geoscape project were staggering. The dataset revealed insights never before available at this scale, including:
With this data, analysts were able to determine land use patterns, urban expansion trends and the distribution of key infrastructure elements. The dataset also provided invaluable insights for environmental and sustainability studies, revealing the growing adoption of solar energy across Australian households and businesses.
The Geoscape dataset has since revolutionized multiple industries. It plays a crucial role in urban planning, infrastructure development, insurance risk modeling and emergency response strategies. Telecommunications companies are using it to optimize 5G network rollout, while local governments are leveraging it for taxation and policy development.
Geoscape project remains a great example on how cutting-edge satellite technology, AI-driven analytics and global collaboration can reshape our understanding of the world. In the coming years, improvements in satellite resolution, AI algorithms and cloud-based analytics will likely enhance the quality and speed of geospatial data collection. This may not only expand the capabilities of Geoscape but also set new standards for how countries worldwide approach geospatial intelligence and urban planning.
With the success of this initiative, the potential for similar projects across other continents and regions grows stronger. As more organizations and governments recognize the value of high-resolution geospatial data, we can expect a future where real-time, AI-driven mapping becomes a standard tool for decision-making on a global scale.