Cashmere High School Topographic Survey and 3D Modelling

Surveyor and Cardno truck on worksite

Cardno’s innovative data capture and modelling gave the Ministry of Education a solid foundation for planning a high school redevelopment that would meet the future growth needs of Cashmere.

Cardno provided an innovative approach to topographical data capture and 3D modelling to help inform and shape building and infrastructure redevelopment at Christchurch’s Cashmere High School, originally built in 1956.

To assist the early stages of planning for the redevelopment, the Ministry of Education sought both 3D topographic data and aerial images in AutoCAD, as well as 3D modelling of the existing buildings in Autodesk Revit. The rich data produced, enabled the client to visualise the current building structures and allow for the planning of new buildings and redevelopment options in a more visual way.

To meet this brief and deliver a cost-effective and value-adding solution, Cardno used a mix of sophisticated data capture and data modelling tools. In the field, we used the Asctec Falcon 8 Rotary UAV, Faro Terrestrial Laser Scanner and Trimble GPS and Robotic Total Station. Together, these tools produced high-resolution 3D pointcloud and orthorectified aerial imagery of the entire site.

Using our integrated 3D data management and modelling tools, the Cardno team efficiently extracted the necessary 2D and 3D products, including:

  • unified 3D pointcloud for integration into CAD software
  • laser scanning model and photo viewer
  • orthorectified aerial images
  • CAD drawings and plans
  • Revit modelling to LOD 100.

The integration of these various outputs produced by Cardno enabled the client to make better-informed decisions around planning and the redevelopment of the school buildings and spaces. These outputs also fed into planning and design tools being used by the redevelopment consultant and allowed the Ministry of Education to visualise and interact with the planning process to ensure a better outcome.

Applying the UAV and scanning approach translated into a faster field collection programme and provided a significantly richer dataset that could be integrated. This led to budget savings and more clarity for the client and the development team.