Published March 28, 2023 | Version Version 1.0
Dataset Open

Vertical plant profiles for Dassenbos (NL, 2014-2018, TLS); Wytham Woods (UK, 2022, LEAF) & Northern Australia (2021-2022, LEAF)

Creators

  • 1. CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Coupure links 653, 9000 Gent, Belgium
  • 2. Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Section 1.4 Remote Sensing and Geoinformatics, Telegrafenberg, Potsdam, 14473, Germany
  • 3. CSIRO, Research Way, Clayton Vic 3168, Australia
  • 4. Environmental Sensing Systems, Bentleigh East, Vic 3165, Australia
  • 5. Department of Geographical Sciences, University of Maryland, College Park, USA
  • 6. Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, 6708 PB, Wageningen, the Netherlands.
  • 7. Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, New South Wales 2751, Australia
  • 8. CSIRO, 564 Vanderlin Drive, Berrimah, NT 0828, Australia
  • 9. School of Forest Sciences, University of Eastern Finland, 80101 Joensuu, Finland
  • 10. Climate and Earth Observation group, National Physical Laboratory, Hampton Road, Teddington, London, UK
  • 11. School of Natural and Environmental Sciences, Newcastle University, NE1 7RU, Newcastle Upon Tyne, UK

Contributors

  • 1. Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, 6708 PB, Wageningen, the Netherlands.

Description

This dataset was described and used for the analysis of the following publication:
StrucNet: A global network for automated vegetation structure monitoring. Brede, B., Newnham, G., Culvenor, D., Armston, J., Bartholomeus, H., Griebel, A., Hayward, J., Junttila, S., Lau, A., Levick, S., Morrone, R., Origo, N., Pfeifer, M., Verbesselt, J. & Herold, M. Remote Sensing in Ecology and Conservation (accepted)

Any use of this dataset should cite the paper above (Creative Commons Attribution 4.0 International Public License).

Contact: kim.calders@ugent.be

 

================================================
                    Dataset
================================================

1) TLS vertical plant profiles Dassenbos. Five-year dynamics of forest structure for the four sampling locations in Dassenbos. Data were collected using the same measurement protocol and data analysis using https://www.pylidar.org/ as described in Calders et al. (2015) using a zenith range of 35-70 degrees for 184-186 (some scans were discarded for quality purposes) measurement days during the period from February 2014 to November 2018. The data repository contains the vertical plant profiles and plotting code (Fig 1 in paper)

2) One-year dynamics of vegetation structure for a tropical savanna site in Northern Australia (Fig 2 in paper) and Wytham Woods (Fig 3 in paper). The data repository contains the vertical plant profiles derived from LEAF data and plotting code.

Files

LEAF.zip

Files (2.5 MB)

Name Size Download all
md5:6dc4f6661b0543e88ae2816601e56aab
39.7 kB Preview Download
md5:865489b53b12aa57e59fa64651842126
2.5 MB Preview Download

Additional details

References

  • StrucNet: A global network for automated vegetation structure monitoring. Brede, B., Newnham, G., Culvenor, D., Armston, J., Bartholomeus, H., Griebel, A., Hayward, J., Junttila, S., Lau, A., Levick, S., Morrone, R., Origo, N., Pfeifer, M., Verbesselt, J. & Herold, M. Remote Sensing in Ecology and Conservation (accepted)
  • Calders, K., Schenkels, T., Bartholomeus, H., Armston, J., Verbesselt, J., Herold, M., 2015. Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements. Agric. For. Meteorol. 203, 158–168.