“Twelve months ago we signed a contract with Nearmap and got half the equation solved. 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.”
Along with high-resolution aerial imagery, Nearmap also provides location content derived from the image capture process. As a rare ‘deep tech’ company, it builds the camera systems and owns the image processing, delivery, and everything in between, including the data — and that’s where Mason saw the opportunity to take things further for the City of Ryde.
The Nearmap in-house AI team works with customers in government, insurance and utilities sectors, and was keen to collaborate with the LGA.
“I asked about the AI team using their expertise and the latest machine learning technology to help us calculate tree canopy cover from the existing imagery, and I was really impressed with the quality of the results and the time it took to provide the analysis,” Mason says.
“It quantified what the tree management staff were saying and it has provided them with data upon which they can base their business decisions.
“Nearmap fits easily into the LGA’s own ecosystem of geospatial information systems (GIS) and most government customers choose to integrate for maximum efficiency.
“At Ryde we have over 170 layers of GIS data available to staff, including external services, land parcel boundaries and house numbers, as well as internal layers for planning, engineering and infrastructure. Now we can have tree canopy cover as an additional overlay,” Mason says.