Comparing regression methods in estimation of biophysical properties of forest stands from two different inventories using laser scanner data
By Erik Næsset, Ole Martin Bollandsås, Terje Gobakken. 2005
185 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/1a21f731f1d4d6db63cf538c291922b8bf04e8a0
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
- Erik Næsset
- Terje Gobakken
- Ole Martin Bollandsås
- Johan Holmgren
- Lauri Korhonen
- Håkan Olsson
- Eva Lindberg
- Kenneth Olofsson
In Insect Science
- Erik Næsset
- Terje Gobakken
- Ole Martin Bollandsås
- Johan Holmgren
- Lauri Korhonen
- Håkan Olsson
- Eva Lindberg
- Kenneth Olofsson
In Nature and Landscape Conservation
- Erik Næsset
- Terje Gobakken
- Ole Martin Bollandsås
- Johan Holmgren
- Lauri Korhonen
- Håkan Olsson
- Eva Lindberg
- Kenneth Olofsson
Citations in the corpus
- Estimating percentile-based diameter distributions in uneven-sized Norway spruce stands using airborne laser scanner data (2007, methodology): “Another study that used PLSR to predict biophysical properties of forest stands using laser data was presented by Næsset et al. (2005).”
- LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements (2008, background): “, 2004; Nguyen and Lee, 2006) and biophysical properties (Atzberger et al., 2003b; Cho et al., 2007; Hansen and Schjoerring, 2003; Naesset et al., 2005).”
- A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach (2013, unknown): “Næsset et al. (2005) compared ordinary least-squares regression, seemingly unrelated regression, and partial-least-squares regression but concluded that none of these approaches outperformed any of the others.”
- Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia (2007, methodology): “Thanks to Prevista AS, Norway, for giving access to field data and laser data acquired as part of a forest inventory in the municipalities of Hole and Fet.”
- Laser-assisted selection of field plots for an area-based forest inventory (2013, background): “Instead, we selected the smallest number of latent components that achieved RMSE smaller than 1.03 × RMSEmin (Næsset et al. 2005).”
- Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods (2010, background): “…boreal forests because they produce estimates of mean tree height, mean DBH, basal area and stem volume with errors of the same size as from accurate field inventories (i.e. using several field plots within each forest stand) (Næsset and Bjerknes 2001, Næsset et al. 2005, Maltamo et al. 2006).”