Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data
By Kevin Tansey, Nick Selmes, A. Anstee, Nicholas J. Tate, A. Denniss. 2009
142 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/6d9b3ea1be773bb0bb880dd076de01cee7cfb42a
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
- Juha Hyyppä
- Xiaowei Yu
- Markus Holopainen
- Mikko Vastaranta
- Mathias I. Disney
- Kenneth Olofsson
- Kim Calders
- Jan Hackenberg
In Insect Science
- Xiaowei Yu
- Juha Hyyppä
- Markus Holopainen
- Mikko Vastaranta
- Kenneth Olofsson
- Paula Litkey
- Harri Kaartinen
- Hooman Latifi
In Nature and Landscape Conservation
- Xiaowei Yu
- Mikko Vastaranta
- Juha Hyyppä
- Markus Holopainen
- Mathias I. Disney
- Kenneth Olofsson
- Guang Zheng
- Martin Herold
Citations in the corpus
- Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density (2015, methodology): “NLS methods need accurate starting parameters, while nowadays being reported to be more accurate than Hough transforms [12].”
- Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning (2012, methodology): “Tree trunks are identified by means of point clustering or circle finding [19], [23]–[25] or by waveform analysis using the Echidna1 validation instrument [26].”
- International benchmarking of terrestrial laser scanning approaches for forest inventories (2018, background): “The past two decades have witnessed steady progress in these types of studies (Henning and Radtke, 2006; Hosoi and Omasa, 2006; Lefsky and McHale, 2008; Maas et al., 2008; Strahler et al., 2008; Côté et al., 2009; Jupp et al., 2009; Tansey et al., 2009).”
- Nondestructive estimates of above‐ground biomass using terrestrial laser scanning (2015, methodology): “1 27 and 1 33 m above the lowest point (Tansey et al. 2009).”