3D forest structure

Multisensorial methods for reconstructing the three-dimensional forest structure

Funding

German Research Foundation (DFG)

Task and objectives of the project

The three-dimensional reconstruction of the vegetation structure and its seasonal change is a prerequisite for the study of the interaction between biosphere and atmosphere. Knowledge of the 3D structure enables the modelling of radiative transport and transformation within a vegetation.

Tasks

  • Development of a method for reconstructing complex vegetation structures from terrestrial laser scanner data and hemispherical photos
  • Integrated segmentation and classification of multi-temporal laser scanner point clouds and hemispherical photographs
  • Development of an indirect method for LAI estimation

Objectives

  • Representation of the seasonal development of phytoelements
  • Optimisation of the radiative transfer model

To carry out the work, a pure birch stand is selected and examined in its different foliage stages - deciduous, during leaf unfolding, fully leafed, during leaf fall.

Acquisition

Two different methods are used to record vegetation:

  • hemispherical photography (HSP): The HSP method is further developed with regard to the recording of exposure sequences: HSP2 method with multiple exposures on phytoelements and background brightness. The photographs are taken with the digital camera Nikon D700.
  • Terrestrial laser scanning (TLS): High-resolution TLS data are recorded in time and space synchronisation with the HSP2 images. The recordings are made with the laser scanner IMAGER® 5006i from Z&F-Scanner.

PAR sensors are used for radiation detection and have been providing data since April 2010.

Results

Relevant publication

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Schilling, A.; Maas, H.-G.: Automatic reconstruction of skeletal structures from TLS forest scenes. In: ISPRS Ann. Photogramm. Remote Sensing, Spatial Inf. Sci. II-5 (2014), S. 321–328

Schilling, A.; Maas, H.-G.; Lingau, C.: Tree detection by row recovery on Eucalyptus spp. plantations from TLS data. In: Proceedings of the 34th EARSel Symposium (2014)

Schilling, Anita; Maas, Hans-Gerd; Schmidt, Anja: A Method for the Registration of Hemispherical Photographs and TLS Intensity Images. : International Archives of Photogrammetry. In: Remote Sensing and Spatial Information Sciences Vol. 39, Part B5 (2012)

Maas, Hans-Gerd; Schilling, Anita; Schmidt, Anja: Tree Topology Representation from TLS Point Clouds Using Depth-First Search in Voxel Space. In: Photogrammetric Record, Vol 27 Issue 138 (2012), S. 175–194

Schilling, A.; Schmidt, A.; Maas, H.-G.; Wagner, S.: Topology extraction using depth first search on voxel representations of tree point clouds. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII; 5/W12 (2011)

Schilling, A.; Schmidt, A.; Maas, H.-G.: Automatic Tree Detection and Diameter Estimation in Terrestrial Laser Scanner Point Clouds. In: Proceedings of the 16th Vomputer Vision Winter Workshop (2011), S. 75–82

Diese Informationen werden vom Vorgängersystem FIS bereitgestellt.

3D workshop

As part of our project, a workshop was held in Tharandt on 4th and 5th February 2013. Download area of the lecture series (password protected)

Project partner

The project is being carried out in cooperation with the Chair of Silviculture at the TU Dresden and the Department of Bioclimatology at the University of Göttingen.

Contact

About this page

Anne Bienert
Last modified: May 21, 2021