Australia’s City of Ryde, Sydney, analyzed tree canopy coverage within its ward boundary using Nearmap historic imagery and machine learning.
“Not only do we have the up-to-date aerial imagery, we also gained access to the Nearmap catalogue of historical imagery and it’s all been captured using the same method, so it is consistent, which is perfect for analysis.”
Lindsay MasonHead of the Land Information team at the City of Ryde
Measuring Tree Canopy to Manage Green Space
The first goal for City of Ryde was to measure tree canopy coverage across the area. Then this local government realized there was 10+ years of consistent, high-quality historic Nearmap imagery, right at their fingertips.
Consistent High-Quality Data
Protecting and enhancing Ryde’s natural and urban environments, calls for a quantifiable approach, such as creating a benchmark for the tree canopy across the entire Local Government Area.
High-Quality Historic Imagery & Machine Learning
Measuring what’s there now is only part of the story. Reliable benchmarks comprise of consistent, quality findings.
Insights on-demand
Power your decision-making with Nearmap AI – actionable insights, anchored to ground truth. Our reliably up-to-date, world-class aerial imagery is your trusted source, processed at scale and already at your fingertips.