Through new UAV LiDAR technology, we are raising the bar for those needing highly accurate and detailed surface modelling and mapping services.
LiDAR (short for Light Detection and Ranging) is a remote sensing and mapping technology. While LiDAR has been available in New Zealand for some time, Fox and Associates are committed to being leaders in UAV LiDAR by investing in the very latest technology.
Our UAV LiDAR fires outbursts of laser pulses from the air towards the ground to collect measurements that are used to create 3D models and maps of objects and environments. However, what makes our UAV LiDAR technology different is that the laser pulses can penetrate through foliage to give accurate detail about the landscape, ground surface and ground condition underneath
This provides vital information for people who need to model the ground for design purposes; whether that’s mapping flood risk, monitoring coastal erosion, assessing carbon stocks in forests or designing structures and landscapes for tree-covered sites.
The LiDAR data can also be used in the form of a point cloud to map structures, features and objects such as buildings, bridges, roading and infrastructure in pinpoint 3-dimensional detail.
A key benefit of our UAV LiDAR is that we can cover large or difficult to access areas very quickly. LiDAR collects hundreds of thousands of data points every second, large or complex jobs can often be completed in a short space of time.
With our new RPAS (Remote Piloted Aerial Systems) UAV and Part 102 CAA Operator certification, we can map sites up to 25 square kilometres in perfect detail of plus or minus 30 millimetres, depending on the level of accuracy required.
“It's only when you're flying above it that you realise how incredible the Earth really is.” Philippe Perrin
UAV LiDAR Services and Expertise
Aerial mapping of:
- Topography particular tree-clad areas
- Existing or future road corridors
- River and coastal flood and erosion risk areas
- Quarries/Stockpiles volumes
- Infrastructure and building structures
- Forestry inventory
- Horticultural crop yields observations