LiDAR (Light Detection and Ranging) uses millions of laser point measurements to build a model of the ground surface. Raw LiDAR data models ground, vegetation and infrastructure. To generate a ‘bare earth’ surface, raw data is edited by automated and manual means to remove surface features. Aerial photography is generally acquired with LiDAR surveys providing an additional data set to increase the value of the LiDAR model.

Our LiDAR sensors are long-range airborne laser scanners which make use of a powerful laser source, multiple-time-around processing and digital full waveform analysis. This combination allows the operation at varying flight altitudes and is therefore ideally suited for the aerial survey of complex terrain. Accurate three dimensional views of the ground surface are created by classifying man-made and above ground features as ‘non-ground’ during the filtering/editing process.

Range of products/deliverables

To simplify classification standards, we have introduced three standard LiDAR classification levels, Type 1, Type 2 and Type 3. These standards are designed to exceed ICSM requirements.

ICSM standards apply to the level of manual work applied to various ground features. For example, a LiDAR point cloud might have ground classified to ICSM level 3, buildings classified to ICSM level 2 and vegetation classified to ICSM level 1 – so a single LiDAR point cloud could include data at various ICSM standard levels. LiDAR point cloud data is subjected to specialised point cloud classification macros and quality checks to ensure a uniform classification level has been achieved for ground and non-ground feature classes. Classification macros have been tested over 100,000 sq. km. of LiDAR capture and have been used consistently without fault for many years. Most of our clients require either Type 1 or Type 2 LiDAR classification.

Aerometrex Type 0 classification standard refers to a LiDAR point cloud that has been subjected to Aerometrex’s specialised automatic classification macro without additional manual classification checks. Type 0 data meets the ICSM Level 1 standards for ground, low vegetation, medium vegetation, high vegetation, and building feature classes. Data is presented as a tiled dataset. Point cloud classification is prepared ready for further manual classifications to be applied.

Aerometrex Type 1 classification standard refers to a LiDAR point cloud that has been subjected to Aerometrex’s specialised automatic classification macro and has had additional manual classification improvements applied to ground level points only. Effort has been applied to ensure high and low points are correctly classified and manually checked. Water points and bridges are removed from ground class to appropriate classification codes. Type 1 data meets the ICSM Level 2 standards for ground points and ICSM Level 1 standards for above ground feature classes such as low vegetation, medium vegetation, high vegetation, and buildings. Data is presented as a tiled dataset. Point cloud classification is prepared ready for further manual classifications to be applied or for ground level terrain modelling.

Aerometrex Type 2 classification standard refers to a LiDAR point cloud that has been subjected to Aerometrex's specialised automatic classification macro and has had additional manual classification improvements applied to ground level and above ground points. Effort has been applied to ensure high and low points are correctly classified and manually checked. Water points and bridges are removed from ground class to appropriate classification codes. Additional manual effort is applied to points greater than 2m above ground ensuring correct classification of buildings, high vegetation, and above ground infrastructure. Type 2 data meets the ICSM Level 3 standards for ground points and ICSM Level 2 standards for above ground feature classes such as unclassified infrastructure, high vegetation, and buildings. Data is presented as a tiled dataset. Point cloud classification is prepared ready for ground level terrain modelling, vegetation analysis, extraction of building footprints and surfaces.

Aerometrex Type 3 classification standard refers to a LiDAR point cloud that has been subjected to Aerometrex's specialised automatic classification macro and has had additional manual classification improvements applied to ground level and above ground points. Effort has been applied to ensure high and low points are correctly classified and manually checked. Water points and bridges are removed from ground class to appropriate classification codes. Extensive manual effort is applied to points greater than 0.3m above ground ensuring correct classification of buildings, fences, cars, medium vegetation, high vegetation, and above ground infrastructure. Type 3 data meets the ICSM Level 3 standards for ground points and above ground feature classes such as unclassified infrastructure, medium vegetation, high vegetation, and buildings. Data is presented as a tiled dataset. Point cloud classification is prepared ready for ground level terrain modelling, vegetation analysis, extraction of building footprints and surfaces.

Basic DTM
We provide regular three dimensional DTM datasets by classifying and filtering vegetation, man-made and other above ground features. A true representation of the bare earth surface is depicted once non-ground points are removed from the dataset. Filtered DTM can be delivered in LAS, xyz, dxf, dwg, csv or any other client requested format.

DSM (Digital Surface Model)
Digital Surface Models are georeferenced regular grid datasets representing the first reflected surface detected by the sensor and will include surface features such as vegetation and man-made objects.

DTM Embossed image
Georeferenced, rendered grey scale, hill shaded bare ground image file

DTM Bare Earth Surface image
Georeferenced rendered, hill shaded, ground surface image showing bare ground.

DSM Surface image
Georeferenced rendered, hill shaded, ground surface image showing ground, vegetation and infrastructure.

High resolution imagery can be captured in conjunction with LiDAR data. An ortho mosaic can then be processed over the project area of interest. Whilst these surveys are usually flown primarily for LiDAR capture, ortho mosaics can be a useful adjunct to the LiDAR survey.

Area Mosaic
Colour ortho mosaic at project resolution (pixel size) trimmed to project polygon and delivered in client selected image format.

Printed Mosaic
High resolution (A2 – AO) PDF file ready for printing and/or laminating.

Tiled Mosaic
Colour ortho mosaic at requested Ground Sample Distance (GSD) cut into regular tiles, trimmed to AOI boundary and delivered in the format requested by the client.

Merged Embossed
Project embossed image merged with client supplied georeferenced mosaic or previous projects and, in the format, requested by the client.

Mine_Image_Cloud_Shadow.JPG

Building footprints can be extracted from LiDAR data as two or three-dimensional georeferenced vector layers. Footprints depict the location of buildings and can be used for detecting changes in building size, location, numbers and measuring front, side and rear setbacks. Building footprints can be overlaid on an orthophotograph, which is also a by-product of a LiDAR survey.

LAS product where vegetation is extracted from the full classified dataset. This product is useful for vegetation health, growth and density analysis. Vegetation models can be delivered on ground terrain or as a normalised product. A normalized product depicts vegetation on normalized ground (i.e. ground data has been flattened giving no height differences due to terrain).

chm.png

3D Trees - Elevation view no buildings with legend.png

Value added services include contour, feature and breakline extraction essentially for engineering applications as well as safety bunds, cut and fill volume analysis to estimate stockpile volumes.

Contours
Contours are automatically generated from the bare earth surface model produced from a LiDAR survey. Contour intervals can be determined by the client and is dependent on the requested vertical accuracy.

Mapping
Feature and break line extraction from LiDAR and image data delivered in client specified vector format.

Safety Bunds
Report derived from LiDAR data for mines for safety purposes

Stock-pile Volumes
A LiDAR survey provides a more accurate volume calculation than what can be achieved by traditional surveying methods and significantly reduces the health and safety risks associated with having personnel on-site.

lidar contours.jpg

Industries we serve

Architecture, Engineering & Construction

With our aerial acquisition, 3D modelling, and LiDAR capture data, and digital orthoimagery, we have supported some of the most notable engineering & construction projects across the country.

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Energy & Utilities

Our team works with energy & utility companies to help convert their physical surrounding into digital data and offer real-world insights linked to asset planning & monitoring.

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Environment and Disaster Management

When fast and reliable acquisition matters, you can rely on Aerometrex. We have performed many extremely time-sensitive projects during numerous environmental disasters over the past many years.

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Forestry & Agriculture

Aerial surveys have become an integral part of forestland management and precision agriculture, in large part replacing extensive field surveys.

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Government

Aerometrex provides high standard mapping products and services for local, state and federal government agencies to support their planning decisions, asset management and monitor changes.

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Insurance & Financial Services

With up-to-date geospatial data, insurance companies can manage risk exposure, accurately price premiums, and process claims efficiently and accurately.

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Natural Resources, Mining & Exploration

We provide accurate elevation, aerial imagery and 3D solution for the mining and energy sector including multiple captures to analyse changes over time.

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Property & Real Estate

Showcase your properties and real estate projects using eye-catching high resolution aerial imagery and 3D models.

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Telecommunications

As telecom networks evolve and become more complex and advanced, having a single true source of geospatial data becomes very essential – a base data set that the entire business can rely on.

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Transport, Logistics and Traffic Management

Aerometrex’s geospatial data provides an accurate view of ground conditions and helps create an efficient transport system.

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Resources

blog
Using metropolitan scale Digital Surface Models for wireless network coverage analysis
Using metropolitan scale Digital Surface Models for wireless network coverage analysis
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news
Aerometrex completes acquisition of Spookfish Australia from parent company EagleView
Aerometrex completes acquisition of Spookfish Australia from parent company EagleView
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news
Aerometrex continues to fly high during COVID-19 pandemic
Aerometrex continues to fly high during COVID-19 pandemic
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