A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners

By Juha Hyyppä, O. Kelle, M. Lehikoinen, M. Inkinen. IEEE Transactions on Geoscience and Remote Sensing, 2001

796 citations recorded by the source corpus.

Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/76de287ac96f09e3a75d59b19edd1e2bcb55a8de

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In Environmental Engineering

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Citations in the corpus

Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information (2005, methodology): “New measuring methods, such as laserscanning (Hyyppä et al. 2001, Holmgren 2003, Næsset 2004) or digital photogrammetry (Korpela 2000, 2004); have specific characteristics and measurement techniques.”
Comparative testing of single-tree detection algorithms under different types of forest (2011, background): “In Scandinavia and Central Europe, rates of correctly detected trees higher than 70 per cent have been reported (Hyyppä et al., 2001; Persson et al., 2002; Koch et al., 2006; Solberg et al., 2006).”
Predicting individual stem volumes of sugi (Cryptomeria japonica D. Don) plantations in mountainous areas using small-footprint airborne LiDAR (2005, methodology): “…researchers showed that individual tree height was accurately estimated in boreal coniferous forests with flat terrain (Hyyppä and Inkinen 1999; Hyyppä et al. 2001; Maltamo et al. 2004; Persson et al. 2002) and also in Japanese larch (Larix leptolepis) (Yone et al. 2002) and sugi (Cryptomeria…”
Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction (2006, methodology): “Combined with methods for single tree extraction (Hyyppä et al., 2001; Morsdorf et al., 2004), the work we presented would allow the direct retrieval of a close to “true” foliage profile from airborne laser scanning data (Lovell et al., 2003; Ni-Meister et al., 2001).”
Three-dimensional surface reconstruction of tree canopy from lidar point clouds using a region-based level set method (2013, methodology): “In addition, many techniques have been applied to CHMs, such as data interpolation (Hyyppä et al. 2001) and smoothing using a Gaussian filter (Solberg, Naesset and Bollandsas 2006).”
Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods (2010, methodology): “…using an algorithm that identifies maxima in the canopy heights and divides the tree canopy into tree crown segments based on the height, it is possible to segment individual tree crowns (Brandtberg 1999, Hyyppä et al. 2001, Persson et al. 2002, Holmgren and Wallerman 2006, Solberg et al. 2006).”
Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images (2008, background): “Individual trees can be detected and the position and size of the detected trees can be measured with sub-metre accuracy (e.g. Hyyppä and Inkinen 1999, Hyyppä et al. 2001, Persson et al. 2002, Schardt et al. 2002).”
Estimating crown base height for Scots pine by means of the 3D geometry of airborne laser scanning data (2010, methodology): “So far, it is mainly the concept of Delaunay triangulation that has been used in preprocessing ALS data (e.g. Hyyppä et al. 2001), while alpha shapes, for example, have recently been introduced for the later analysis (Holmgren et al. 2008, Vauhkonen et al. 2009).”
Trends in Automatic Individual Tree Crown Detection and Delineation - Evolution of LiDAR Data (2016, background): “[40] used high-pulse-rate laser scanners to detect single trees in boreal forest zones in order to retrieve important stand attributes (i.”
Allometric equation choice impacts lidar-based forest biomass estimates: A case study from the Sierra National Forest, CA (2012, background): “The second pproach has resulted in higher accuracy as reported in the literaure, likely because lidar metrics are derived at the individual tree evel (Popescu et al., 2003; Hyyppä et al., 2001; Persson et al., 2002; wak et al., 2007).”
Detection of individual trees and estimation of tree height using LiDAR data (2007, methodology): “…LiDAR remote sensing technology has recently been applied to the delineation of individual trees and for the extraction of canopy information (Hyyppä et al. 2001; Persson et al. 2002; Chen et al. 2006), because LiDAR data can actively acquire tree crown and canopy information using…”