Predicting individual stem volumes of sugi (Cryptomeria japonica D. Don) plantations in mountainous areas using small-footprint airborne LiDAR
By Tomoaki Takahashi, Kazukiyo Yamamoto, Y. Senda, Masashi Tsuzuku. Journal of Forest Research, 2005
59 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/7c8c6545431cd4f3d02fc3f99e7684d4ef1cf3eb
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
- Matti Maltamo
- Jari Vauhkonen
- Petteri Packalen
- Jussi Peuhkurinen
- Timo Tokola
- J. Malinen
- Lindi J. Quackenbush
- Erik Næsset
In Insect Science
- Matti Maltamo
- Jari Vauhkonen
- Petteri Packalen
- Jussi Peuhkurinen
- Timo Tokola
- J. Malinen
- Barbara Koch
- Hooman Latifi
In Nature and Landscape Conservation
- Matti Maltamo
- Jari Vauhkonen
- Petteri Packalen
- Jussi Peuhkurinen
- Timo Tokola
- J. Malinen
- Lauri Mehtätalo
- Lindi J. Quackenbush
Citations in the corpus
- Predicting Tree Attributes and Quality Characteristics of Scots Pine Using Airborne Laser Scanning Data (2009, methodology): “Examples of such processes have involved tree crown height prediction (Naesset and ∅kland 2002, Maltamo et al. 2006a), species interpretation (Holmgren and Persson 2004), and stem volume modelling ( Takahashi et al. 2005, Chen et al. 2007, Villikka et al. 2007).”