Accuracy of forest inventory using airborne laser scanning: evaluating the first nordic full-scale operational project
By Erik Næsset. 2004
251 citations recorded by the source corpus.
Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/0e2843b18564b0896e5c51aed45f6a2546736b5d
How researchers see this paper
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In Environmental Engineering
- Erik Næsset
- Terje Gobakken
- Johan Holmgren
- Göran Ståhl
- Håkan Olsson
- Juha Hyyppä
- Shelley A. Hinsley
- Ross A. Hill
In Insect Science
- Erik Næsset
- Terje Gobakken
- Johan Holmgren
- Göran Ståhl
- Håkan Olsson
- Juha Hyyppä
- Shelley A. Hinsley
- Ross A. Hill
In Nature and Landscape Conservation
- Erik Næsset
- Terje Gobakken
- Johan Holmgren
- Göran Ståhl
- Håkan Olsson
- Juha Hyyppä
- Ross A. Hill
- Shelley A. Hinsley
Citations in the corpus
- Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods (2010, methodology): “The Weibull distribution has been commonly used to describe tree size-related distributions such as DBH and basal area (Gobakken and Næsset 2004, Maltamo et al. 2007).”
- Mini-UAV-Borne LIDAR for Fine-Scale Mapping (2011, background): “to map data with classic scanning systems of more than one laser pulse per square meter [5].”
- Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia (2007, methodology): “2 m3 ha 1 2.6 11.5 Næsset (2004a)a 65 Stand volume Mature pine-dominated 1.0 37 19 162.”
- Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway (2011, methodology): “The canopy densities were then computed as the proportion of number of returns above a given layer to total number of returns including those below 1.3 m, see Næsset (2004a) for further details.”
- Estimation of stand variables in Pinus radiata D. Don plantations using different LiDAR pulse densities (2012, background): “…et al., 2010); dominant height (Næsset, 2002, 2004; Lovell et al., 2005; Stephens et al., 2007; Rombouts et al., 2008; Treitz et al., 2010); stem number (Næsset, 2002, 2004; Hall et al., 2005; Treitz et al., 2010); total aboveground biomass (Hall et al., 2005; Treitz et al., 2010); foliage…”
- Comparison of small-footprint discrete return and full waveform airborne lidar data for estimating multiple forest variables (2016, background): “467 However, many only predict a relatively limited number of forest metrics (e.g. Hudak et al., 468 2009; Hyyppä et al., 2008; Li et al., 2014; Lim et al., 2003; Næsset 2004; Richardson & 469 Moskal, 2011).”