Estimating crown base height for Scots pine by means of the 3D geometry of airborne laser scanning data
By Jari Vauhkonen. 2010
66 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/4ec1b93e48109608b4ecf3159a110b60df96902a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Lindi J. Quackenbush
- Lianjun Zhang
- Zhen Zhen
- Matti Maltamo
- Petteri Packalen
- Jari Vauhkonen
- Ilkka Korpela
- Timo Tokola
In Environmental Engineering
- Matti Maltamo
- Jari Vauhkonen
- Petteri Packalen
- Lianjun Zhang
- Zhen Zhen
- Lindi J. Quackenbush
- Jussi Peuhkurinen
- Timo Tokola
In Nature and Landscape Conservation
- Matti Maltamo
- Jari Vauhkonen
- Petteri Packalen
- Lindi J. Quackenbush
- Lianjun Zhang
- Zhen Zhen
- Jussi Peuhkurinen
- Timo Tokola
Citations in the corpus
- Estimation of tree crown volume from airborne lidar data using computational geometry (2013, methodology): “Despite a slight improvement, CBH predictions for spruce were imprecise, and also less accurate for pine when compared with previous results (Vauhkonen 2010).”
- Trends in Automatic Individual Tree Crown Detection and Delineation - Evolution of LiDAR Data (2016, methodology): “ITCD and related literature are summarized into four focus types: (1) research that concentrated on ITCD algorithm development [70,96]; (2) research that concentrated on applying ITCD results for forest parameter estimation or comparing different datasets using published ITCD algorithms [32,108,109]”
- Predicting Tree Attributes and Quality Characteristics of Scots Pine Using Airborne Laser Scanning Data (2009, methodology): “They used this information to predict tree species, although it could equally well be used to determine tree crown variables (Vauhkonen 2008).”