Aspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Alexander Brzank
  • Christian Heipke
  • Jens Goepfert
  • Uwe Soergel
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Details

Original languageEnglish
Pages (from-to)510-528
Number of pages19
JournalISPRS Journal of Photogrammetry and Remote Sensing
Volume63
Issue number5
Early online date2 May 2008
Publication statusPublished - Sept 2008

Abstract

The Wadden Sea is a unique habitat formed by the strong influence of tidal currents. Twice a day the area is flooded and falls dry afterwards. Due to the force of tidal streams, strong morphologic changes occur frequently. In order to monitor these changes, high precision digital terrain models (DTMs) are required. Lidar proved to be an adequate technique to deliver highly accurate 3D mass points of the surface and dense spacing. However, water often remains within tidal channels and depressions even at low tide, and near infrared lidar is not able to penetrate the water leading to a point cloud which contains surface and water points. Thus, the standard processing workflow for DTM generation from lidar is not suited for the Wadden Sea. In this article, a new workflow is proposed for DTM generation from lidar data in the Wadden Sea. Two major building blocks of this workflow, namely classification of the water points and structure line detection, are presented in detail. For both tasks suitable algorithms were developed tailored to meet special requirements of mudflat. Lidar measurements from water surfaces are detected by a supervised fuzzy classification using the features height, intensity, and 2D point density. Structure lines are derived through a piecewise reconstruction of the surface from the lidar data with a hyperbolic tangent function. The obtained results show that both methods considerably improve the accuracy of DTMs from lidar data.

Keywords

    Classification, DTM, Laser scanning, Lidar, Structure lines

ASJC Scopus subject areas

Cite this

Aspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction. / Brzank, Alexander; Heipke, Christian; Goepfert, Jens et al.
In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 63, No. 5, 09.2008, p. 510-528.

Research output: Contribution to journalArticleResearchpeer review

Brzank A, Heipke C, Goepfert J, Soergel U. Aspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction. ISPRS Journal of Photogrammetry and Remote Sensing. 2008 Sept;63(5):510-528. Epub 2008 May 2. doi: 10.1016/j.isprsjprs.2008.02.002
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title = "Aspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction",
abstract = "The Wadden Sea is a unique habitat formed by the strong influence of tidal currents. Twice a day the area is flooded and falls dry afterwards. Due to the force of tidal streams, strong morphologic changes occur frequently. In order to monitor these changes, high precision digital terrain models (DTMs) are required. Lidar proved to be an adequate technique to deliver highly accurate 3D mass points of the surface and dense spacing. However, water often remains within tidal channels and depressions even at low tide, and near infrared lidar is not able to penetrate the water leading to a point cloud which contains surface and water points. Thus, the standard processing workflow for DTM generation from lidar is not suited for the Wadden Sea. In this article, a new workflow is proposed for DTM generation from lidar data in the Wadden Sea. Two major building blocks of this workflow, namely classification of the water points and structure line detection, are presented in detail. For both tasks suitable algorithms were developed tailored to meet special requirements of mudflat. Lidar measurements from water surfaces are detected by a supervised fuzzy classification using the features height, intensity, and 2D point density. Structure lines are derived through a piecewise reconstruction of the surface from the lidar data with a hyperbolic tangent function. The obtained results show that both methods considerably improve the accuracy of DTMs from lidar data.",
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AU - Soergel, Uwe

N1 - Funding Information: This research has been financed by the Federal Ministry of Education and Research (BMBF) under project no. 03KIS050. We gratefully acknowledge the support of our project partners: Department of Rural Area Husum (ALR), Federal Waterways Directorate (WSD) and the Lower Saxony Water Management, Coastal Defence and Nature Conservation Agency Division Norden-Norderney (NLWKN).

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