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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).

Powerline Clash Detection

Location: Victoria, Australia
ZEB Scanner: ZEB Horizon
Scan time:
10 Minutes (via car)

This data was captured using the ZEB Horizon and car mount. The point cloud visually shows clash detection between the powerlines and the overhanging trees.

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).

Fig Tree

Location: Sydney, Australia
ZEB Scanner: ZEB Horizon
Scan time:
5 Minutes

This data was captured using the ZEB Horizon in just 5 minutes and consists of 7.7 million points.

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

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.

The role of LiDAR in bringing ‘Industry 4.0’ to Norwegian forestry

Location

Ås,
Norway

Scan time

Approx. 10-20 minutes per scan

Size

250 Sq/m plots

Scanned

Norwegian forests

Industry

Forestry

SFI SmartForest and LiDAR in Norwegian forestry

The SFI SmartForest is a part of the Centres for Research-based Innovation scheme of the Research Council of Norway. It aims to position Norway’s forestry sector at the forefront of digitisation by 2028. The primary goal of the 8-year research centre is to improve the efficiency of the Norwegian forestry sector by enabling a digital transformation, using innovative technologies, such as LiDAR. They aim to increase productivity, reduce environmental impacts, and review other significant climate benefits.

SmartForest are focusing on silviculture, forest operations, wood supply, and the overall digital information flow. The hope is to bring industry 4.0 to the Norwegian forestry sector by having a free flow of information and real-time communication, through innovative and enabling technologies.

The interconnectivity of data and technology will not only result in the long-term success of the forestry sector in Norway but also contribute to limiting potential environmental impacts.

LiDAR is one of the enabling technologies that will help them collect accurate data for ground truthing. The point cloud is forming a basis for deep learning models that can eventually apply to much larger mapped areas.

Why is mobile LiDAR required?

The forest is dense with trees, the floor is often rough terrain, and it is usually hidden beneath a thick canopy of vegetation. To capture 3D models of the forest, SmartForest need a mobile LiDAR solution that can map from the ground and a UAV-based LiDAR solution to capture properties of the tree canopy.

Data acquisition is only one part of a larger workflow that can include segmentation algorithms, allowing for further exploration of the physical attributes of individual trees such as tree height and distribution. It’s important for the data to be precise, to ensure accurate monitoring of the forest.

An obvious solution was a static-based terrestrial laser scanner (TLS), however, despite the accuracy levels being incredibly high, the speed of capture was impeded by the need for several scans in one area. As the project progresses and the need for scanning larger areas increases, TLS becomes a less likely option.

Another choice was a UAV-based solution that can capture large areas in a short period of time. Though SmartForest works with UAV to capture the forest canopy, it’s less effective at penetrating thick vegetation to collect forest floor and trunk data than it is from the ground.

After looking around the market, they opted to try mobile laser scanning as a solution that could quickly capture ground data to an accuracy high enough for their needs.

Vegetation, trunks and terrain

Trunks and terrain

Terrain

Working with GeoSLAM’s ZEB Horizon

SmartForest chose GeoSLAM’s ZEB Horizon scanner for its speed of capture, ease of use, and mobility. Projecting 300,000 laser points per second with a range of up to 100 meters, the scanner produces dense point clouds of large areas, in a short period of time. The accurate point cloud includes the forest floor, debris, tree trunks, and thick vegetation.

Frequent data acquisition is a key part of SmartForests plans and GeoSLAM’s handheld LiDAR scanner, alongside UAV data capture help to achieve this. The ZEB Horizon’s ease of use makes data acquisitions a repeatable task and the high accuracy of data provides a foundation for deep learning models.

The point clouds are processed in GeoSLAM’s software package and imported in 3rd party solutions, where sophisticated algorithms are applied to segment the data. Automatic segmentation of the tree trunks allows for easier tree counts and tree segmentation provides precise forest inventory, down to the individual tree. The digital separation of trees will lead to the extraction of features such as wood quality, biomass, and other ecologically relevant variables.

Scanning with the ZEB Horizon is a very efficient way to collect ground truth. Eventually, we want to use it for large-scale mapping applications.

Conclusion

The long-term plan for the SFI SmartForest is to bring industry 4.0 to the Norwegian forestry industry, using emerging and enabling technologies. Handheld LiDAR scanning has been identified as an efficient way to map the forest from the ground, providing accurate point clouds which serve as the basis for deep learning research opportunities.

They hope to use GeoSLAM’s ZEB Horizon for other applications in the future, having seen the versatility of the scanner.




If you’d like to learn more about how GeoSLAM solutions can help you, submit the form below.





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    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 GeoSLAM mailing list for updates and offers

    On-demand Webinar

    Watch a previous webinar in your own time

    GeoSLAM for Education

    Watch this webinar to learn how educational institutions are inspiring the next generation of surveyors using GeoSLAM handheld LiDAR scanners.

    Hear from three guest speakers from different Universities and Colleges across the world discussing their own individual experiences uses handheld LiDAR scanners to support education and inspire their students.

    Key takeaways:

    • What is SLAM?
    • How it powers GeoSLAM technology
    • Why use GeoSLAM for Education?
    • Insights from Ángel A. García Jr,  James Madison University​
    • Insights from Blair Bridger, College of the North Atlantic
    • Insights from Mona Hess, University of Bamberg

    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).

    Railway Line

    Location: Norway
    ZEB Scanner: ZEB Horizon
    Scan time:
    15 Minutes

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

    Providing innovative solutions using UAVs

    and LiDAR scanners

    Location

    Savannah,
    USA

    Scan time

    From 10-30 minutes

    Size

    Varies depending on scan

    Scanned

    Large exterior spaces

    Industry

    Surveying

    Delivering accurate representations of built environments

    Shamrock+, based in Savannah Georgia, provides creative and visual solutions to individuals and businesses through photography and 3D data collection services. Using UAVs, cameras, sensors and software, Shamrock+ delivers accurate representations of built environments for their clients.

    Shamrock+ largely works within Architecture, Engineering and Construction (AEC), however, they also assist professionals with projects in the Real Estate sector. Their solutions include photography, progress documentation, creating 3D data visualisations, and as-built.

    Shamrock+ originally used a static-based LiDAR solution to produce their 3D point clouds. Though highly accurate, they needed a faster solution for collecting data. Additionally, they needed a versatile scanner that can be mounted to UAVs and cars to capture larger areas.

    As a result, Shamrock+ chose to work with GeoSLAM’s ZEB Horizon scanner.

    What used to take hours to scan, is now taking us significantly less time to cover more areas.

    Using the ZEB Horizon laser scanner on UAVs

    The ZEB Horizon has significantly reduced the time needed to scan, whilst simultaneously delivering accurate data. The easy-to-use solution and simple setup mean the team could immediately begin scanning.

    Many of the areas Shamrock+ capture are large exterior spaces, and the 100m range of the ZEB Horizon make it the ideal solution. The team carried out an architectural scan of an approximately 10,000 sq. ft Community Bible Church (CBC) in Savannah, GA. This project consisted of 3 individual scans of the interior building and its surrounding area, with the scan time ranging from 10 to 30 minutes.

    Shamrock+ uses the ZEB Horizon laser scanner on UAVs, handheld and with GeoSLAM’s car mount accessories. The versatile solution provides Shamrock+ with the ability to switch from air based data capture to scanning large areas in a very short amount of time.

    Creating 3D BIM files, floorplans and more with GeoSLAM technology

    Shamrock+ has completed more than a dozen projects to date, each with its own challenges. From scanning building interiors for renovation, to mapping acres of land for topographical data, the ZEB Horizon has proven to be a tool that can overcome the challenges it has faced so far.

    Shamrock+ processes the ZEB Horizon’s data using GeoSLAM Connect. They also internally integrate the point clouds into other software platforms to create 3D BIM files, floorplans, elevations, contours, and much more.

    By using GeoSLAM’s technology, Shamrock+ can capture large acres of land in a short period of time. This speeds up their data collection process without sacrificing accuracy, which allows them to spend more time on creating high quality visual solutions for their clients.

    If you’d like to learn more about how GeoSLAM solutions can help you, submit the form below.





      Please select your Country


      How did you hear about GeoSLAM?


      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 GeoSLAM mailing list for updates and offers

      On-demand Webinar

      Watch a previous webinar in your own time

      Smarter Construction: Benefits of Handheld SLAM Mapping

      Monitoring construction progress comes with many challenges and we’d like to help you solve them with SLAM mapping. Watch this webinar to learn how to track the progress of small and large construction projects using mobile LiDAR and automated analytics.

       

      Key takeaways:

      • What is SLAM?
      • The main challenges when monitoring construction progress
      • How can handheld SLAM mapping solve these challenges in small and large projects?
      • Understand how to map larger spaces with GeoSLAM’s ZEB scanners
      • Processing and visualisation in GeoSLAM Connect
      • Big projects/collaboration
      • Deliverables
      monitor construction progress using change detection

      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).

      Clifton Suspension Bridge, UK

      Location: Bristol, UK
      ZEB Scanner: ZEB Horizon and ZEB Vision
      Total Scan time:
      16 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).

      Africa Museum

      Location: Belgium
      ZEB Scanner: ZEB Horizon and ZEB Vision
      Total Scan time:
      20 Minutes

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