The image is split into two halves vertically. The right hand side shows an aerial photograph of the landscape in real colour, with streets and houses towards the top of the image, several main roads intersecting diagonally through the image, and a body of water that curves through the image starting near the top left corner and ending near the bottom right corner. The right hand side is a LiDAR image of the same area of land, depicting depth of water/height of topography using different shades of colour. The highest points are shown in deep blues through to greens and then shades of light green for the highest points on the map. Bridges have been removed from the image.

- Comparison between aerial imagery and LiDAR 1 m DEM with bridges removed for hydrology purposes.

A LiDAR composite image showing a view of Myrtleford from a view looking diagonally down towards the town. Man-made structures are shown in shades of red, topohraphy is depicted in shades of yellow, and natural features in shades of green. There are several roads all vanishing into the mid-ground, with houses along the streets and a roundabout closer to the foreground.

- LiDAR composite view of Myrtleford (imagery and classified point-cloud).

A LiDAR composite view showing a section of Mansfield taken from an angle looking down and across several streets. Manmade structures are displayed in shades of red, ground surfaces in shades of light brown, and trees and bushes in shades of green. A large roundabout is in the middle of the image, with houses positioned either side of several streets branching out from the middle. Trees line the main roads and are more clustered in the back yards of houses.

- LiDAR composite view of Mansfield (imagery and classified point-cloud).

A point-cloud colourised image of Walhalla taken from above. Roads and man-made structures are displayed in shades of grey, and trees, grass and shrubbery in shades of red. The image shows a large, open field at the top, with streets circling the field and radiating out. Houses are dotted across the image, as well as trees along the streets and in the yards of houses.

- Point-cloud colourised with colour infrared aerial imagery.

An aerial image of a portion of the Murray River using false colour to depict the depth of the waterway and height of land contours. The deepest points are shaded in blue, through shades of green, then yellow, then red for the highest points. The image shows the curves of the river wending back and forth across the landscape along with floodplains.

- Visualisation of the Murray River using 1 m DEM with hillshade and false colours.

Starting in 2021 and conducted over three years, the Digital Twin Victoria (DTV) LiDAR project is the largest LiDAR survey undertaken in the state’s history. The DTV LiDAR project was primarily conducted to improve the quality and extent of terrain surface data available for Victoria but continues to be used to support an increasing range of use cases.

The project expands on existing LiDAR coverage to represent 99% of Victoria’s population and over 95% of buildings in the state by high accuracy terrain and point cloud data. On completion, the project will have added nearly 60,000 km2 of new LiDAR data.

Extent: >60,000 km2
Point density: Ranging between 8 and 16 points/m2 (first returns)
Colourised: RGB or RGBI
Coordinate reference system: GDA2020 MGA 54/55, AHD
Point cloud: LAZ 1.4, ICSM level 2
Elevation products and resolution: DEM 1 m, DHM 1 m, DSM 1 m
Vertical accuracy: 10 cm (RMSE)

Availability: Licensed via coordinated.imagery@delwp.vic.gov.au

Partner Agencies: Digital Twin Victoria (DTV) and the Coordinated Imagery Program (CIP), Department of Transport and Planning (DTP).

View elevation glossary (DOCX, 140.1 KB).

A screen capture of the web browser preview of DTV LiDAR data. A menu on the left hand side shows options to customise the data. The main screen shows terrain in shades of orange, vegetation in green and buildings in red.
A visual of the Digital Twin Victoria LiDAR sample data available for download or preview via web browser.
Download data sample
View sample in web browser

Page last updated: 12/10/23