Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds
By Xiaowei Yu, Xinlian Liang, Juha Hyyppä, Ville Kankare, Mikko Vastaranta, Markus Holopainen. 2013
86 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/e5c2c2d135e4f72997fec444d460f1d6bd069e78
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
- Mikko Vastaranta
- Xiaowei Yu
- Joanne C. White
- Nicholas C. Coops
- Markus Holopainen
- M. Wulder
- Kenneth Olofsson
In Insect Science
- Xiaowei Yu
- Juha Hyyppä
- Markus Holopainen
- Mikko Vastaranta
- Joanne C. White
- M. Wulder
- Kenneth Olofsson
- Murray E. Woods
In Nature and Landscape Conservation
- Xiaowei Yu
- Mikko Vastaranta
- Juha Hyyppä
- Markus Holopainen
- Kenneth Olofsson
- Joanne C. White
- M. Wulder
- Nicholas C. Coops
Citations in the corpus
- A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach (2013, methodology): “The 2-m threshold has since been applied in several studies that use the area-based approach (e.g., Næsset 2002; Andersen et al. 2005; Frazer et al. 2011a; Hyyppä et al. 2012; Wulder et al. 2012; Yu et al. 2013).”
- International benchmarking of terrestrial laser scanning approaches for forest inventories (2018, methodology): “Tree-/plot-level stem volume and biomass components were also shown to be estimated at accuracy levels that are similar to those of the best national allometric models (Yu et al., 2013; Kankare et al., 2013; Astrup et al., 2014; Liang et al., 2014b).”