Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data
By Wei Yao, Peter Krzystek, Marco Heurich. 2012
327 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/161e4d7d60c13a363332048c9120c4dbfa2a691b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Ilkka Korpela
- Lauri Korhonen
- Aarne Hovi
- Anna Virolainen
- Jari Vauhkonen
- Lindi J. Quackenbush
- Lianjun Zhang
- Zhen Zhen
In Insect Science
In Nature and Landscape Conservation
- Ilkka Korpela
- Lauri Korhonen
- Aarne Hovi
- Anna Virolainen
- Jari Vauhkonen
- Lindi J. Quackenbush
- Lianjun Zhang
- Zhen Zhen
Citations in the corpus
- Estimation of tree crown volume from airborne lidar data using computational geometry (2013, methodology): “The computational CV derived in this way has been found to correlate strongly with tree stem attributes of different species (Vauhkonen et al. 2008, 2010; Rentsch, Krismann, and Krzystek 2011; Yao, Krzystek, and Heurich 2012).”
- Analysis of full-waveform LiDAR data for classification of an orange orchard scene (2013, unknown): “Several promising studies have been carried out in forest environment with the emphasis on species, mostly deciduous versus coniferous classification (Heinzel and Koch, 2011; Höfle et al., 2008; Litkey et al., 2007; Reitberger et al., 2006, 2008; Yao et al., 2012).”