Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data
By Mikko Vastaranta, Ville Kankare, Markus Holopainen, Xiaowei Yu, Juha Hyyppä, Hannu Hyyppä. 2012
108 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/0672432c7b6c5a5a5d38aa54302296bd39857bb2
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
- Erik Næsset
- Juha Hyyppä
- Juho Pitkänen
- Ruben Valbuena
- Xiaowei Yu
In Insect Science
- Jari Vauhkonen
- Matti Maltamo
- Petteri Packalen
- Juha Hyyppä
- Juho Pitkänen
- Ruben Valbuena
- Erik Næsset
- Xiaowei Yu
In Nature and Landscape Conservation
- Matti Maltamo
- Petteri Packalen
- Jari Vauhkonen
- Erik Næsset
- Ruben Valbuena
- Juha Hyyppä
- Juho Pitkänen
- Xiaowei Yu
Citations in the corpus
- An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (2012, methodology): “[43] found that the use of visual detection after automated detection of individual trees in area-based inventory did not improve accuracy.”
- Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves (2014, background): “Maltamo et al. (2004), Lindberg et al. (2010), Vauhkonen et al. (2010) and Vastaranta et al. (2012) combined ABA and ITD with the purpose of overcoming this difficulty and improving estimation accuracy.”
- A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach (2013, unknown): “…but the most common methods used are either parametric (e.g., Means et al. 2000; Næsset 2002; Holmgren 2004; Næsset et al. 2011; Woods et al., 2011) or non-parametric (e.g., Packalén and Maltamo 2007; Hudak et al. 2008; Frazer et al. 2011a; Järnstedt et al. 2012; Vastaranta et al. 2012) approaches.”