Capturing tree crown formation through implicit surface reconstruction using airborne lidar data
By Akira Kato, L. Monika Moskal, P. Schiess, M. Swanson, Donna A. Calhoun, Werner Stuetzle. 2009
214 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/25a8e7b956fefeb27b8922cb6a0241a398f8fce8
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
- Lianjun Zhang
- Zhen Zhen
- Lindi J. Quackenbush
- Ilkka Korpela
- Lauri Korhonen
- Aarne Hovi
- Anna Virolainen
- Jari Vauhkonen
In Insect Science
- Jari Vauhkonen
- Bill P. Buckles
- Zhen Zhen
- Lianjun Zhang
- Shijun Tang
- Lauri Korhonen
- Lindi J. Quackenbush
- Pinliang Dong
In Nature and Landscape Conservation
- Lianjun Zhang
- Zhen Zhen
- Lindi J. Quackenbush
- Ilkka Korpela
- Lauri Korhonen
- Aarne Hovi
- Anna Virolainen
- Jari Vauhkonen
Citations in the corpus
- Estimation of tree crown volume from airborne lidar data using computational geometry (2013, methodology): “These results are comparable with earlier studies in which lidar-based CV was estimated from remotely sensed data by means of regressions (Kato et al. 2009; Jung et al. 2011).”
- Three-dimensional surface reconstruction of tree canopy from lidar point clouds using a region-based level set method (2013, background): “Although many models from computer vision and pattern recognition have been proposed and applied to geography, forestry, and ecology (Rosin 2003; Bribiesca 2008; Van Leeuwen, Coops, and Wulder 2010), few studies have focused on automated characterizations of three-dimensional (3D) canopy shapes usin”
- Trends in Automatic Individual Tree Crown Detection and Delineation - Evolution of LiDAR Data (2016, background): “[91] derived accurate results for various parameters (i.”