1 / 16

Bathymetric LiDAR – Lessons learned

Bathymetric LiDAR – Lessons learned. Andrew Flatman Rune Carbuhn Andersen Data Acquisition Danish Geodata Agency. Danish Geodata Agency - GST. Our earliest experiences with Bathymetrisk LiDAR – 21. Dec. 2007. Opportunity for Bathymetric test 2009-2012.

archer
Télécharger la présentation

Bathymetric LiDAR – Lessons learned

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Bathymetric LiDAR – Lessons learned • Andrew Flatman • Rune Carbuhn Andersen • Data Acquisition • Danish Geodata Agency

  2. Danish Geodata Agency - GST • Our earliest experiences with Bathymetrisk LiDAR – 21. Dec. 2007

  3. Opportunity for Bathymetric test 2009-2012 Why ”Bringing Land and Sea Together”? • Goals: • Develop a product specification for maritime and terrestrial features • Develop a new vertical datum for the North Sea Region • Extensive testing of new airborne laser techniques in the coastal zone • Deploy, update and test metadatabase • Reasons: • North Sea nations handle geospatial data independently • Little integration of land and sea data • Lack of collaboration between countries • Increasing pressure on coastal areas • Threat of climate change and accelerated sea level rise WP3: Developing the Marine and Coastal Reference Base WP4: Harmonisation of Maritime Information WP6: Climate Change and Integrated Coastal Zone Management (ICZM)

  4. The GST interest in Bathymetric LiDAR • Supplementary Survey techniques… • 1. Closing the gap… • 2. Classification by waveform… • 3. Lakes and streams…

  5. Test areas • 3 different environments: • Rødby • Flensborg Fjord I & II • Hirtshals

  6. Challenges • Maturity – Operators / Systems • Local Environment – water and weather • http://marcoast.dmi.dk/

  7. Primary Goal – Closing the Gap (Flensborg Fjord) • Lots of rock • Hawkeye – deep scan • Chiropetera – high density

  8. Deep scan (3 sechi) vs High density (1 sechi) • High densitiy (1 sechi)

  9. Accuracy – control points: Usual check of topograhic LiDAR but Bathymetric LiDAR?

  10. Accuracy: control points and object detection

  11. Multibeam • Depth: 5 meter • 3 m • Deep scan (3 sechi) • Deep Scan - Hawkeye • High Density - Chiroptera

  12. Distribution Flyingheight: 400 meter 5 meter

  13. Distribution in Flensburg Data: • Back to simple point cloud:

  14. LiDAR • LiDAR bund • Multibeam bund • Density and penetration • LiDAR havoverflade • LiDAR bund

  15. Preliminary Conclusion and Lessons learned …. so far • Accuracy – Horizontal OK, Vertical assumenly OK • Density vs Object Recognition - ?? • Logistic – local environment – a constant challenge in Danish waters • Sofware and data processing tools for full waveform - challange • Great Model - plenty of use in Coastal Zone Management • But for charts ????

  16. The Road Ahead…. • Data analyze of Flensburg Fjord and Rødby - general QC • Object recognition • Cooperation with other organizations (BSH, …) • Evaluation of Bathymetric LiDAR for Danish Waters • Operational test in Greenland – 2015 • LiDAR Bathymetry for classification… • LiDAR Bathymetry for lakes and streams… • ……..

More Related