LIDAR Derived Products

Our airborne LIDAR surveys help create detailed 3D point clouds of mine sites (colourised or classified) as well as generate other 3D-derived datasets. LIDAR offers a fast, effect and highly accurate solution and vital data layer serving many purposes over the life of a mine. Some of these include:

- Planning of site infrastructure, such as access roads, plant sites and support buildings

- Supporting flood management through hydrological studies and optimising dam sites for the mine’s ongoing operations

- Supporting the design and maintenance of embankments using engineering studies derived from LIDAR data

- Building a baseline archive of the site before operations start, to record current landscape and features such as canopy definition, to support mine rehabilitation plans at the end of the mine site’s life.

LIDAR surveys provide more accurate volume calculations than what can be achieved by traditional surveying methods and significantly reduce the health and safety risks associated with having personnel on-site. Aerometrex can typically provide volume calculations within three days of an aerial survey.

For open cut mines, LIDAR can provide a comprehensive three dimensional model of the entire mine site. Engineers and project managers can utilise this model to monitor the site through time and show how the mine has expanded, providing an important historical perspective and prove to be an asset when it comes time for site restoration.

COLOURISED

CLASSIFIED

VOLUME ANALYSIS

3D POINT CLOUDS

LiDAR Point Clouds are a collection of points which contain X,Y and Z values. X – Eastings, Y – Northings and Z – Height Coordinates represent the shape of the surface and environment as a 3D model.

COLOURISED

LiDAR point clouds can be colourized with imagery where each LiDAR point includes three band pixel values. A colourized point cloud is particularly useful for 3D visualization for mining consultation and site planning.

CLASSIFIED

LiDAR point clouds are usually ‘classified’. Classification refers to tagging each point in the point cloud with the object it identifies (i.e. vegetation, buildings, road surface etc).