Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species
By Trevor Moffiet, Kerrie L. Mengersen, C. Witte, Robert A. R. King, Robert Denham. 2005
160 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/493a5b0ce088f70c16114a9295e960b3312e23bc
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
- Jari Vauhkonen
- Matti Maltamo
- Petteri Packalen
- Timo Tokola
- Jussi Peuhkurinen
- Peter Krzystek
- Johan Holmgren
- J. Malinen
In Insect Science
- Jari Vauhkonen
- Matti Maltamo
- Petteri Packalen
- Peter Krzystek
- Johan Holmgren
- Timo Tokola
- Sooyoung Kim
- D. Briggs
In Nature and Landscape Conservation
- Jari Vauhkonen
- Matti Maltamo
- Petteri Packalen
- Timo Tokola
- Jussi Peuhkurinen
- Johan Holmgren
- Peter Krzystek
- Erik Næsset
Citations in the corpus
- Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar (2007, methodology): “most forested areas) (cf. Holmgren and Persson, 2004; Moffiet et al., 2005).”
- Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data (2011, methodology): “Recently, forest stand types or tree species classification have been studied using laser scanner datasets (Brantberg, 2007; Brandtberg et al., 2003; Brennan & Webster, 2006; Donoghue et al., 2007; Holmgren & Persson, 2004; Kim et al., 2009a, 2009b; Moffiet et al., 2005; Ørka et al., 2009).”
- Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images (2008, methodology): “The proportion of single returns was identified as one potential variable for separation of a dense canopy tree species (Cypress pine) and a less dense tree species (Poplar box) in Queensland, Australia (Moffiet et al. 2005).”
- Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees (2008, result): “The good experience using this saliency corresponds with results reported in Moffiet et al. (2005) for the leaf-off case.”
- Predicting Tree Attributes and Quality Characteristics of Scots Pine Using Airborne Laser Scanning Data (2009, methodology): “Various authors have presented methodologies for species recognition based on lidar data (Holmgren and Persson 2004, Moffiet et al. 2005, Brandtberg 2006, Liang et al. 2007, Ørka et al. 2007, Vauhkonen et al. 2008).”
- Estimating crown base height for Scots pine by means of the 3D geometry of airborne laser scanning data (2010, methodology): “For this purpose, the return intensity values could be used (Popescu and Zhao 2008), even though the intensity is not solely related to the properties of the vegetation (e.g. Moffiet et al. 2005, Höfle and Pfeifer 2007).”