GIS & Asset Capture

PDM’s Laser Asset Measurement System (LAMS) utilises one of the most versatile LiDAR systems on the market today and current high definition imagery capture devices for the delivery of high density point clouds and colour geo-referenced imagery.

At Project Delivery Managers Pty Ltd

we provide a range of consultancy services for both Private and Government entities, our services include:

Laser Scanning

Imagery Capture

LAMS Capture

Laser Scanning

PDM’s LAMS System’s versatility is in its capability of easily being fitted to either a standard road vehicle, all-terrain-vehicle (ATV), train, boat or aerial platform which truly stands out from other mobile units. PDM additionally have the flexibility to either front or rear mount the scanner on both a standard vehicle or ATV. This provides for fast and safe collection of LiDAR data in all environments.

At PDM, we utilise a forward mounted scanning system to capture gravel roads, ensuring the best quality imagery is obtained. Further versatility is provided with PDM’s scanning system having the capability to provide static scanning by utilizing a Faro Focus 3D scanner for high density of static environments. This delivers to our clients unparalleled flexibility of both mobile and static scanning solutions.

In addition to a versatile scanning system, PDM’s scanning team has a strong background in engineering and modelling. This gives PDM the edge in delivering a product suitable for it’s intended task, as there is first hand knowledge in how the data can be utilized in new and existing workflows.

Laser and Imagery Capture

PDM utilizes a range of equipment and methods of scanning to best suit the objectives of our clients and the environment being captured digitally. PDM’s LAMS platform is extremely versatile, able to be mounted on a range of vehicles in various configurations to suit the environment being scanned. This includes:

Road vehicle (Forward or rear mounted) • ATV • Helicopter • Boat • Rail

In addition, for high density scans of static environments PDM utilizes a Faro scanner to compliment the mobile scanning equipment.

Applications of LiDAR Scan Data

The output of PDM’s LiDAR scanning systems can be utilized in an ever increasing number of applications such as:

Ground/Surface Modelling • Asset Management • GIS/Mapping • Historic/Heritage Data Capture

As Constructed/Built Modelling • Reverse Engineering • Modelling for Movies/Games/Simulations

Volumetric Analysis • Flood Modelling • City Planning

The field is rapidly evolving, with new applications being realized as the full potential of reality capture is unlocked across a variety of fields.

PDM LAMS Asset Capture

LiDAR Asset Capture

PDM’s survey grade high definition mobile video equipment is ideal for councils to measure and view their roads with precision and clarity. The demonstrated benefits regarding this technology is the rapid capture and assessment for NDRRA claims and asset condition assessments that is accurate and repeatable.

In Queensland, over the past few years, Queensland Reconstruction Authority (QRA) has been borne to manage the State Government interest in controlling finance’s to councils for disaster relief. This has seen techniques for assessment and technologies come and go that have not given sufficient evidence to protect Councils. PDM is leading the way in North Qld with its mobile mapping system by providing council’s with accurate data that QRA insist be provided as evidence for any damage claim on council assets.

Past Works - PDM LAMS System

We have previously undertaken flood assessment and provided program and project management, safety advisors, inspectors and complete administration teams for Disaster Recovery Events including:

  • Burdekin Shire Council flood repairs NDRRA 2010 – 2014
  • Charters Towers Regional Council NDRRA 2010 – 2014
  • Hinchinbrook Shire Council NDRRA 2009 – 2013
  • Flinders Shire Council NDRRA 2010-2015
  • Torres Shire Council NDRRA 2010-2012
  • Cloncurry Shire Council NDRRA 2012- 2014
  • Townsville City Council NDRRA 2009 – 2013