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Logo: Institute of Photogrammetry and GeoInformation
Logo Leibniz Universität Hannover
Logo: Institute of Photogrammetry and GeoInformation
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Scientific monitoring concepts for the German Bight (WIMO) (2015)

Researcher:A. Schmidt

Sub-project: Monitoring of topography in Wadden Sea areas with airborne laser scanner data

 

Motivation

Climate change and human activities cause morphological changes in the Wadden Sea. The wide-ranging consequence for the ecosystem of the North Sea requires a sustainable development in the next years. In particular, the definition of significant environmental parameters and their relationship as well as the observation of German Bight's condition becomes essential and are task of a project called WIMO, a cooperation of universities and institutes in Lower-Saxony, Bremen and Schleswig-Holstein.

Airborne laser scanning became a standard technology for topographic data acquisition in coastal areas of the North Sea. The accuracy of these data depends on a number of various factors. In water regions topographic data acquisition is limited to the water surface since the commonly used near-infrared laser pulse hardly penetrates water. Therefore, the elevation model deviates from the actual terrain and requires water surfaces detection for the generation of a digital terrain model (DTM).

Fig. 1: Digital terrain model (left) and classified point cloud (right) in water (blue) and land (yellow)

Goal

The aim of the project is to develop new methods for the automatic derivation of a digital terrain model in order to delineate the topography and its dynamics in Wadden Sea areas. In particular, water surfaces remaining in tidal trenches even during low tide have to be detected automatically and considered for the DTM modelling. We focus especially on the development of new algorithms and the analysis of full waveform data in regard to crucial classification features. For the evaluation of our methods we use data from the German Wadden Sea.

Publications

Schmidt, A.; Rottensteiner, F.; Soergel, U. (2011): Untersuchung zur Erkennung von Wasserflächen in Full-Waveform-Laserscanner-Daten. In: DGPF Tagungsband 20/2011, Mainz, April 2011, pp. 391-398 | file |

Schmidt, A.; Rottensteiner, F.; Soergel, U. (2011): Detection of Water Surfaces in Full-Waveform Laser Scanning Data. In: IntArchPhRS vol. XXXVIII-4/W19, Hannover, 2011, 6 S., CD | file |

Schmidt, A.; Adolph, W.; Klonus, S.; Ehlers, M.; Farke, H., Soergel, U. (2012): Potential of Airborne Laserscanning Data for Classification of Wadden Sea Areas. 32th EARSeL Symposium, Mykonos, 2012, pp. 495-502 | file |

Schmidt, A.; Rottensteiner, F.; Soergel, U. (2012): Classification of airborne laser scanning data in wadden sea areas using conditional random fields. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXIX-B3, S. 161-166, 2012.  | file |

Schmidt, A.; Rottensteiner, F.; Soergel, U. (2013): Water-Land-Classification in Coastal Areas with Full Waveform Lidar Data. In: PFG 2 (2013), S. 71-81.

Schmidt, A.; Rottensteiner, F.; Soergel, U. (2013): Monitoring concepts for coastal areas using lidar data, In: IntArchPhRS vol. XL-1/W1, Hannover, 2013, 6 S. | file |

Schmidt, A.; Soergel, U. (2013): Lidar data for classification and scientific monitoring in coastal areas, In: Proceedings of Coastal Dynamics 2013, June 25-28, Arcachon, France, pp. 1473-1482 | file |

Schmidt, A.; Soergel, U. (2013): Monitoring and change detection of Wadden Sea areas using Lidar data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7/W2, 2013, ISPRS2013-SSG, 11 – 17 November 2013, Antalya, Turkey | file |

Schmidt, A.; Niemeyer, J.; Rottensteiner, F.; Soergel, U. (2014): Contextual Classification of Full Waveform Lidar Data in the Wadden Sea. IEEE Geoscience and Remote Sensing Letters, 5 pages. more

Winter, C.; Herrling, G.; Bartholomä, A.; Capperucci, R.; Callies, U.; Heipke, C.; Schmidt, A.; Hillebrand, H.; Reimers, C.; Bremer, P.; Weiler, R. (2014): Wissenschaftliche Konzepte für ein Monitoring des ökologischen Zustands des deutschen Küstenmeeres. In: Wasser und Abfall 07-08/2014; pp 21-26

Schmidt, A.; Rottensteiner, F.; Soergel, U.; Heipke, C. (2014): Extraction of fluvial networks in lidar data using marked point processes. In: IntArchPhRS vol. XL-3, ISPRS Technical Commission III Symposium, Zurich, Switzerland, September 2014, pp. 297-304 | file |

Adolph, W.; Jung, R.; Schmidt, A.; Ehlers, M.; Heipke, C.; Bartholomä, A.; Farke, H. (2017): Integration of TerraSAR-X, RapidEye and airborne lidar for remote sensing of intertidal bedforms on the upper flats of Norderney (German Wadden Sea), Geo-Marine Letters (2016), pp. 1-13

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