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).

Distillery

Location: Europe
ZEB Scanner: ZEB Revo RT
Scan time:
20 Minutes

GeoSLAM’s ZEB Pano was used to capture images of the distillery.

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

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).

ArcelorMittal Orbit

Location: London, United Kingdom
ZEB Scanner: ZEB Horizon
Scan time:
5 Minutes

This data was georeferenced with the ZEB Locate accessory and captured as part of the Big SLAM Tour of the UK, read about it here.

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

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).

Ski Slope

Location: Europe
ZEB Scanner: ZEB Horizon
Scan time:
20 Minutes

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

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).

Stadium

Location: Brazil
ZEB Scanner: ZEB Horizon
Scan time:
30 minutes per scan

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

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).

Baton Rouge

Location: New Orleans, USA
ZEB Scanner: ZEB Horizon/ ZEB Discovery
Scan time:
30 Minutes

Colourised data was captured using the ZEB Discovery backpack solution.

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

Poole’s Cavern

Chartered land surveryors, GeoTerra were invited by the BCRA (British Cave Research Association) to scan the cavern, so they could gain a better understanding of the geological formation. Using GeoSLAMs ZEB Horizon, GeoTerra’s goal was to map both areas accessible to the public and the narrow spaces just big enough to crawl through – a system of caves measuring 300metres long and 50metres wide.

Deep Time 40

For 40 days, 15 participants set up camp in the Lombrives cave in southwestern France with no clocks or sunlight, and zero contact to the outside world.

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).

The Kelpies

Location: Falkirk, Scotland
ZEB Scanner: ZEB Horizon
Scan time:
20 Minutes

This data was captured as part of the Big SLAM Tour of the UK, read about it here.

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

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).

Angel of the North

Location: Newcastle, United Kingdom
ZEB Scanner: ZEB Horizon
Scan time:
6 Minutes

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

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).

New Place Hotel

Location: Southampton, United Kingdom
ZEB Scanner: ZEB Horizon/ ZEB Discovery
Scan time:
30 Minutes

Colourised data was captured using the ZEB Discovery backpack solution. This data was captured as part of the Big SLAM Tour of the UK, learn more about it here.

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

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).

Village

Location: Residential Street in Yorkshire, UK
ZEB Scanner: ZEB Horizon
Scan time:
10 Minutes

This data was captured using GeoSLAM’s car mount accessory with the ZEB Horizon.

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

Scanning on the Istrian Peninsula

Location
Location

Rovinj,
Croatia

Scanned
Scanned

Campsite

Size
Size

1100m x
700m

Scan time
Scan time

20 minutes
per scan

Industry
Industry

Surveying

Whether you are cruising down the Adriatic coast, visiting the famous Game of Thrones filmsets in Dubrovnik or experiencing some of Croatia’s famous cities; with visitors to Croatia more than doubling since 2010, tourism has become an important part of the Croatian economy.

In the North sits the Istrian peninsula, a place known for its beauty, history, amazing food, and a place tourists flock to year on year both domestically and internationally. A sharp increase in visitors has meant that tourism sector has needed to adapt to the exponential growth.

The Maistra group is one of Croatia’s leading tourist companies. They manage 18 hotels, 11 tourist villages and 6 campsites in sought out destinations such as Rovinj, Vrsar, Zagreb and Dubrovnik. With so much property to manage, they need quick and efficient ways to keep their site documentation up to date. In early 2021 they approached GeoSLAMs Croatian dealer, Geo centar, requesting a scan of one of their campsites in Rovinj on the Istrian peninsula.

ZEB Horizon | Scanning in Rovinj

Due to the size of the site, 1100m x 700m, the team at Geo Centar opted to tackle the scan using GeoSLAMs ZEB Horizon, plus aerial photogrammetry. The aim of the survey was to create up to date campsite documentation in the form of 2D vector maps, high resolution 2D raster maps, georeferenced imagery, and a digital terrain model with contours. Due to the campsites age and need to modernisation, the documentation will serve as a reference for design purposes.


Combining both high resolution orthophotos of the area with the point cloud from the ZEB Horizon, the team were able to capture data quickly, accurately and without disruption. By utilising the walk-and-scan method of capturing data, they were able to make light work of the task.

Being able to walk and scan is a true blessing in such situations since any other scanning method is either much slower or much more expensive.

10 scans were conducted in total, mainly focusing on buildings, terrain covered with vegetation and other objects that would be tough to capture with aerial photography. Each scan took approximately 20 minutes, so the team were able to cover the entire 1100m x 700m in just over 3 hours. Using the scans, the team were able to extract roads, sports fields, fences, stairs buildings and roads. Finally, the team took photos of important object using the ZEB-Cam.

GeoSLAM ZEB Horizon’s long range, strong SLAM algorithms and ease of use make it the perfect tool for this job.

Post Scan

During the scan, the team used a survey grade GNSS receiver, to georeference the data. Utilising GeoSLAMs adjust to control feature, in GeoSLAM Hub, the team were able to accurately georeference the scans, enabling them to correct any trajectory drifts, that may have occurred during the scan, ensuring accurate and quality data was delivered to the client.

In addition, the team were able to georeference the images taken with the ZEB-Cam, open them in GeoSLAM Draw, which was then used to export the web version (HTML) of the top view layout containing the location of the images. This HTML was easily shared with investors and engineers working on the same project, providing a visual impression.

The pointcloud data was exported to 3rd party software, where the team were able to create the documentation and maps for their client.

Results

The team were successfully able to map the campsite and extract the data needed to create high quality survey maps, a digital terrain model and contours, which will now be used to modernise the campsite.