LiDAR Point Cloud

High-Density Georeferenced Point Clouds for Surveying, Engineering, Planning and Future Processing

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At LiDAR Drone Australia, we provide high-density, georeferenced LiDAR point cloud data for surveying, engineering, infrastructure, environmental and planning projects throughout NSW and beyond.

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A LiDAR point cloud is one of the most valuable deliverables from an aerial LiDAR survey. Rather than producing only a finished drawing or terrain surface, the point cloud preserves a detailed three-dimensional record of the site that can be viewed, measured, classified and processed for a wide range of current and future requirements.

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Our focus is on capturing accurate, well-structured and practical LiDAR data that can be incorporated into your existing CAD, GIS, surveying and engineering workflows.

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What Is a LiDAR Point Cloud?

A LiDAR point cloud is made up of millions of individually measured three-dimensional points.

Each point contains a precise horizontal and vertical position, creating a detailed digital representation of the terrain and features within the survey area.

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Depending on the site and project requirements, the point cloud may contain returns from:

• Natural ground

• Roads and tracks

• Embankments and cuttings

• Buildings and structures

• Trees and vegetation

• Power and utility infrastructure

• Drainage channels

• Creek lines and waterways

• Stockpiles

• Earthworks

• Rock faces and exposed terrain

• Other surface features

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When these points are viewed together, they create a highly detailed 3D representation of the surveyed environment.

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High-Density Data Capture

The value of LiDAR is not simply in collecting points. It is in collecting the right density and distribution of points for the intended application.

For projects requiring greater detail, our flight planning can be adjusted to increase LiDAR coverage and point density.

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Factors we consider include:

• Flight altitude

• Aircraft speed

• Flight-line spacing

• Flight overlap

• LiDAR scan configuration

• Terrain

• Vegetation density

• Site size

• Required level of detail

• Intended final deliverables

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High-density capture can be particularly beneficial for complex terrain, engineering sites, heavily vegetated areas and locations where detailed three-dimensional information is required.

Our objective is to provide a point cloud that is not only dense, but usable and appropriate for the project.

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Georeferenced LiDAR Data

LiDAR point clouds are captured and processed within an appropriate spatial reference system so they can be integrated with other project information.

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Depending on project requirements, data can be supplied in coordinate systems and datums commonly used throughout Australia, including GDA2020 and Australian Height Datum (AHD) where suitable survey control and project requirements support these outputs.

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This allows LiDAR information to be used alongside:

• Survey data

• Engineering drawings

• GIS datasets

• Design models

• Property information

• Existing infrastructure records

• Environmental datasets

• Aerial imagery

• Future survey campaigns

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Correct georeferencing is particularly important when LiDAR data will form part of a larger engineering, surveying or infrastructure project.

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Classified LiDAR Point Clouds

A raw LiDAR point cloud contains the measurements recorded by the sensor. Through processing and classification, points can be separated into meaningful groups.

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Depending on the project and available data, classifications may include:

• Ground

• Low vegetation

• Medium vegetation

• High vegetation

• Buildings and structures

• Other surface features

Ground classification is particularly important for projects requiring a bare-earth terrain model.

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By separating ground returns from vegetation and other objects, we can use the classified point cloud to generate products such as:

• Digital Terrain Models

• Digital Surface Models

• Contours

• TIN surfaces

• Hillshade models

• Cross-sections

• Long sections

• Elevation rasters

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The classified point cloud remains an important deliverable in its own right because it gives the client access to the underlying three-dimensional data rather than only the derived surface.

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LAS and LAZ Point Cloud Deliverables

LiDAR point clouds are commonly supplied in industry-standard LAS or compressed LAZ formats.

These formats retain the three-dimensional point information and can be imported into many professional surveying, engineering, CAD, GIS and point-cloud software packages.

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Depending on your requirements, we can provide:

• Raw LiDAR point clouds

• Processed point clouds

• Georeferenced point clouds

• Ground-classified point clouds

• Fully or partially classified point clouds

• LAS files

• LAZ files

• Project-specific tiled datasets

• Supporting coordinate system information

• Derived terrain products

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For larger projects, point clouds can also be divided into manageable tiles to make the dataset easier to store, transfer and process.

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A Detailed Digital Record of Your Site

One of the significant benefits of retaining the LiDAR point cloud is that it provides a detailed digital record of site conditions at the time of capture.

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A client may initially require only contours or a terrain model, but the original point cloud can often be used later to generate additional information without repeating the entire aerial survey.

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Subject to the quality and suitability of the original data, future processing may include:

• Additional contours

• Different terrain surfaces

• TIN generation

• Cross-sections

• Longitudinal profiles

• Slope analysis

• Vegetation analysis

• Height measurements

• Earthworks assessment

• Stockpile calculations

• Drainage investigations

• 3D visualisation

• Feature extraction

• Comparison with future surveys​

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This can make a well-captured LiDAR point cloud a valuable long-term project asset, particularly for infrastructure, engineering and environmental projects.

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Point Clouds for Surveying

LiDAR point clouds can provide surveyors with extensive three-dimensional site information across areas that may otherwise require considerable time to capture using ground-based methods alone.

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Applications can include:

• Topographic surveys

• Preliminary site investigations

• Terrain mapping

• Existing-condition surveys

• Corridor mapping

• Earthworks

• Contour generation

• Surface modelling

• Difficult-access areas

• Vegetated terrain

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LiDAR does not necessarily replace conventional surveying. Instead, it can complement traditional survey methods by providing dense spatial coverage across large or difficult areas.

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Where formal survey accuracy or specific engineering tolerances are required, appropriate ground control, check points and survey methodology should be incorporated into the project.

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Point Clouds for Engineering and Civil Projects

Engineering teams increasingly work within three-dimensional digital environments.

A detailed LiDAR point cloud can provide a strong representation of existing conditions before design or construction work begins.

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Applications include:

• Road design

• Civil infrastructure

• Subdivisions

• Drainage projects

• Bridges and crossings

• Earthworks

• Cut-and-fill planning

• Construction access

• Preliminary engineering

• Feasibility investigations

• Infrastructure upgrades

• Existing-condition documentation

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The ability to rotate, inspect and measure a project site in three dimensions can provide engineers and designers with a much clearer understanding of existing terrain and site constraints.

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Infrastructure and Corridor Mapping

High-density LiDAR is particularly useful for linear infrastructure projects.

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These may include:

• Roads

• Rail corridors

• Powerlines

• Pipelines

• Utility corridors

• Water infrastructure

• Telecommunications routes

• Access roads

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LiDAR can capture both the infrastructure environment and surrounding terrain, creating a detailed dataset that can support planning, engineering, vegetation assessment and future project development.

For long corridors, point-cloud data can be tiled and structured to make large datasets easier for project teams to manage.

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Environmental and Vegetation Projects

Unlike conventional aerial photography, LiDAR records three-dimensional information at different levels within the environment.

In vegetated areas, the point cloud may contain returns from the upper canopy, branches, understorey and the underlying terrain.

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This makes LiDAR useful for environmental applications including:

• Vegetation structure analysis

• Canopy-height assessment

• Bare-earth mapping

• Creek and drainage mapping

• Riparian studies

• Habitat investigations

• Forestry applications

• Erosion studies

• Environmental planning

• Rehabilitation monitoring

• Catchment assessment

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The same point cloud can potentially provide information about both the vegetation and the ground beneath it.

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Bare-Earth Point Clouds

For projects where terrain is the primary requirement, we can process LiDAR data to identify and classify ground returns.

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The resulting ground-only point cloud provides the foundation for bare-earth terrain products such as:

• Digital Terrain Models — DTM

• Contours

• TIN surfaces

• Hillshade models

• Cross-sections

• Longitudinal profiles

• Slope analysis

• Drainage models

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This is particularly useful in bushland and vegetated environments where conventional aerial photography may primarily capture the top of the vegetation rather than the actual ground surface.

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It is important to recognise that LiDAR does not physically pass through solid vegetation. Sufficient openings within the canopy and understorey are still required for laser pulses to reach the ground. For this reason, careful flight planning and high-density capture can be particularly important on heavily vegetated sites.

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Why Keep the Original Point Cloud?

A finished contour plan or terrain model provides information for a specific purpose.

The point cloud provides much more.

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By retaining the original processed LiDAR dataset, clients have access to the underlying three-dimensional information from which many other products can be created.

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This can be particularly valuable when:

• Project requirements change

• Additional analysis is requested

• New engineering questions arise

• Alternative contour intervals are needed

• Additional sections or profiles are required

• Future survey data needs to be compared with the original site

• Environmental conditions need to be reviewed

• New design options are being considered

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For long-term infrastructure and development projects, retaining the LiDAR point cloud can reduce the need to return to the original survey data every time a new output is required.

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LiDAR Point Cloud Deliverables

Depending on the project, LiDAR Drone Australia can provide a combination of:

• High-density LiDAR point clouds

• LAS / LAZ files

• Classified point clouds

• Ground-classified point clouds

• Bare-earth point clouds

• Digital Terrain Models

• Digital Surface Models

• TIN surfaces

• Contours

• Hillshade models

• Elevation rasters

• Cross-sections

• Long sections

• 3D terrain models

• CAD-compatible outputs

• GIS-compatible outputs

• Orthophotography where included within the project

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We can discuss the intended use of the data with your surveyor, engineer, environmental consultant, planner or project manager so that the point cloud and associated outputs are delivered in a practical format.

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Captured for Today — Valuable for Tomorrow

At LiDAR Drone Australia, we understand that the value of a LiDAR survey extends beyond the immediate project requirement.

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A carefully captured and processed point cloud can become a detailed digital archive of the site — available for current design work and potentially valuable for future analysis, comparison and processing.

That is why we place emphasis on flight planning, data density, georeferencing, classification and practical deliverables, rather than simply providing a large collection of points.

Our goal is to provide LiDAR data that your project team can confidently use today and retain for future requirements.

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Discuss Your LiDAR Point Cloud Requirements

If your project requires a high-density georeferenced LiDAR point cloud, send us the project location and a brief description of what you need to achieve.

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Providing a KML, KMZ, shapefile or site boundary is particularly helpful when assessing larger areas or infrastructure corridors.

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We can review your project and discuss the appropriate capture methodology, point-cloud deliverables and any additional terrain products required.

LiDAR Drone Australia

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High-density georeferenced LiDAR point clouds for surveying, engineering, infrastructure, planning and future processing.

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LAS. LAZ. Classified Point Clouds. Bare-Earth Data. DTM. DSM. TINs. Contours.