Skip to content

GeoSLAM Sample Data

View and download data in our free point cloud viewer

Here’s some helpful tips for the best viewing experience

  • If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
  • Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
  • In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
  • Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).

Sand Stockpile

Location: Saudi Arabia
ZEB Scanner: ZEB Horizon
Scan time: 15 minutes

This data was processed in GeoSLAM Connect and the volume of the stockpile was calculated (15,000 tons) in GeoSLAM Volumes.

Would you like to see a specific dataset that’s not on this page? Contact [email protected]

Digitising 163 apartments in the heart of Hamburg


Hamburg, Germany

Scan time

25 minutes per scan


163 apartments and 13 staircases


Apartment Building



Danish-based digital modelling company, Eseebase, works to digitise building assets globally. They collect relevant, accurate data and information, with the aim to make the maintenance of buildings more effective. During the lifespan of the company, they’ve created digital assets for more than 9 million square meters of space and over 400,000 flats within the housing sector.

This case study will dive into a recent project, that required the need for fast and accurate data capture, using GeoSLAM handheld scanners.

Mapping a residential apartment block in Hamburg

SAGA, controlled by the State-City of Hamburg, is Germany’s 3rd largest housing company and has nearly 140,000 residential units. They required up-to-date information and measurements of a large apartment building. Upcoming renovations to the apartment block meant that the information needed to be accurate and returned in a timely manner.

SAGA tasked Eseebase to capture the data. The team’s goal was to create up-to-date CAD drawings and a 3D model (BIM) of the apartment block.

The residential building has 163 apartments and 13 staircases that span across 7 floors. Furthermore, residents currently live in the apartments, so speed and professionalism were a priority. To limit disruption, the team had a few hours per day to scan the building. As a result, a requirement for an accurate and time-efficient method of data capture was essential.

Finding an effective solution in handheld LiDAR

Eseebase opted to work with GeoSLAM technology, as they are familiar with the solutions and workflows. For this project, the team obtained a ZEB Horizon scanner. They also made use of the ZEB Vision camera claiming the bubble walk-through feature from the 360o panoramic images were a useful reference when modelling.

The ZEB Horizon’s walk and scan method was a simple way of capturing an environment without any difficult setups. It also was a less intrusive way of obtaining data, benefitting the residents in the apartment blocks.

Additionally, the laser scanner transitioned well between apartments to hallways and stairwells, as well as from indoors to outdoors. The ZEB Horizon’s ease of use meant training was minimal, and there was a reduction in time spent in the apartment block.

The ZEB Horizon’s speed of capture also allowed Eseebase to scan the building’s interior in under three days, carrying out 7-10 scans per day that lasted 25 minutes each.

With the interior captured, the team focused on the exterior of the building. A close-up walk around the building gathered the necessary data, and a wider loop helped to capture the roof. A large body of water surrounds one side of the building, therefore Eseebase had to get creative and scan from a small boat they hired. The mobility of the scanner overcame this problem, whereas other mapping solutions would struggle due to their cumbersome nature.

Essebase used GeoSLAM Connect to process the final point clouds and they automatically merged the 23 individual datasets into one large point cloud.

Autodesk ReCAP produced RCP files from the point cloud, which was then imported into Revit where the CAD Drawings and 3D model was created.


In just three weeks Eseebase had presented the final deliverables back to SAGA. The speed of capture the ZEB Horizon provided cut down the overall delivery time, and the mobility saw that the process didn’t largely affect the residents.

Eseebase found GeoSLAM’s technology so efficient and beneficial that they have recently acquired the ZEB Horizon RT. They plan to use it, with the ZEB Vision, for future projects in Germany following similar workflows.

Ernst Koppensteiner, Head of Data Registration and Quality Assurance at Essebase, says “Capturing a building of this size comes with its difficulties, especially when scanning multiple staircases and rooms over several floors. The ZEB Horizon allows us to easily capture the necessary data quickly and with no issues”.

The ZEB Horizon is the most versatile scanning device we have found when it comes to using one system for Outdoor scanning, Indoor scanning and scanning in very confined spaces like cellars and attics”
– Ernst Koppensteiner, Head of Data Registration and Quality Assurance, at Eseebase

Our Dealers – Renewed

In this blog, we are proud to share our renewed dealers, with some brief information on their work within specific industries and where they’re located.

Our Dealers – New and Renewed

In this Chartered Institution of Civil Engineering Surveyors article, Dr Neil Slatcher talks all things SLAM, answering questions such as ‘What’s the difference between SLAM and traditional laser scanning?’ and ‘What kind of SLAM types are there?’.

Everything you need to know about SLAM

In this Chartered Institution of Civil Engineering Surveyors article, Dr Neil Slatcher talks all things SLAM, answering questions such as ‘What’s the difference between SLAM and traditional laser scanning?’ and ‘What kind of SLAM types are there?’.

How do you colourise a point cloud?

With ever-increasing research and development in the technology, the advances in both scanning hardware and processing software are improving the detail, scale and use of point cloud data. One of these improvements is colourisation. Adding colour has plenty of benefits when viewing and analysing point cloud data.

Scanning behind a dropped ceiling using mobile LiDAR

Surveying buildings is difficult and accessing hard to reach areas, like dropped ceiling or raised floors, without disrupting business can be seemingly impossible. In this blog we’ll discuss how SLAM and LiDAR technology has made scanning behind dropped ceilings a simple process.

Referencing using control points

Control points are points within a given area that have known coordinates. They are a key tool in the geospatial industry and can be utilised in a variety of ways, including georeferencing point clouds and aligning aerial images to terrestrial data. By using control points, surveyors are able to accurately map larger areas and position overlapping surveys of an area together. They can also be used in non-geospatial industries, such as construction and mining, to show clear temporal comparisons between multiple surveys of the same area. This method of georeferencing is also referred to as adjust to control.

Previously, checkerboards and spherical targets have been used as control markers – these items are captured in surveys and can be identified for georeferencing or aligning. The main drawback with these methods is that they rely heavily on human interpretation when processing, meaning that the processed datasets may be susceptible to an increased amount of error.

When capturing handheld surveys, GeoSLAM systems are able to collect reference points. These can then be matched with known control points to reference scans and increase the level of accuracy.

What makes GeoSLAM referencing different?

  • More accurate: GeoSLAM scanners are used with known control points and survey grade pins, rather than more traditional moveable targets. This reduces the margin of error within point clouds.
  • Save time: using known survey control points means there is no need to manually position individual targets before every scan. Data capture can then be repeated regularly, faster, easier and with no concerns that reference points are captured in different places each time.
  • Safer: in dangerous or inaccessible areas, targets are not required to be physically positioned on pre-defined control points prior to each scan. This reduces the time exposed to hazards and unsafe areas.


Easily reference point clouds and produce reports highlighting accuracy values.



Regularly monitor site operations (e.g. stockpiles) and hazards.

Security & Defence


Compare changes over time and map progress onto predetermined CAD/BIM models.


All GeoSLAM ZEB systems are able to capture reference points using the reference plate accessory. These reference points can simply be measured by remaining stationary for periods during a scan and will be recognised during the processing stage. Points can be captured from a horizontal or vertical position, depending on which ZEB system is used, making it easier than ever to georeference datasets.


Using the Stop & Go Georeferencing workflow in GeoSLAM Connect, datasets can be automatically referenced through a rigid or non-rigid transformation.

Scans are rotated and adjusted and reference points are matched to the known control points without changing the scale factor. A single transform is applied to every data point in the point cloud.

The scale factor of datasets is altered to suit the control points – every data point is moved to a new position; this means the relative positions of these points also changes. This method is better suited for poor SLAM environments.

A clean georeferenced point cloud is produced using both methods. An accuracy report of the transformation is also generated and includes an RMS error value.

Once georeferenced using control points, point clouds can be optimised further using leading third party software:

  • Comparisons with existing CAD/BIM models
  • Point cloud to point cloud registration showing changes over time within a given area
  • CAD/BIM model creation

For more information about our third party partnerships, head to our integrations page.

Mapping hazardous mines under intense time constraints

Beck Engineering, an Australian mining engineering consultancy specialising in mining and rock mechanics analysis, needs to rapidly map mines under intense time constraints using versatile technology which is adaptable to any environment. GeoSLAM’s handheld mobile mapping solution was chosen as it is compact, portable and delivers a high level of accuracy. With GeoSLAM’s “go-anywhere” 3D technology in hand, Beck Engineering has been able to supply invaluable data regarding the direct effects of mining to better understand the implications of a deforming rock mass. Beck Engineering is now able to accurately measure the shape of an excavation or tunnel over time. As a result, tunnels are safer, better designed and more cost efficient.

We have continued to use GeoSLAM products as they have proven to be affordable, lightweight and sufficiently robust devices for their application underground. GeoSLAM continues to produce a high-quality device that is at the forefront of practical mobile laser scanning devices.
– Evan Jones, Senior Rock Mechanics Engineer at Beck

Contact us


    Primary Application Interest

    Primary Application Interest














    GeoSLAM and its authorised partner network will use the information you provide to contact you about products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, please review our Privacy Policy.

    Opt in to the FARO mailing list for updates and offers.


    Keep up to date with the latest news and thought leadership from GeoSLAM.