Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar

By Tomas Brandtberg. 2007

277 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/0f6dba934e03b839ec202b574ed50e999d97ed77

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In Environmental Engineering

In Insect Science

In Nature and Landscape Conservation

Citations in the corpus

Carbon Content of Tree Tissues: A Synthesis (2012, background): “Such technologies may be able to discriminate species in temperate forests [75], but are likely to perform only limited species- or tree functional type discrimination in diverse tropical forests [76].”
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, Orka et al. 2007, Vauhkonen et al. 2008).”
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).”
The role of LiDAR in sustainable forest management (2008, background): “At a very dense point spacing, studies have demonstrated that different tree architectures facilitate species recognition for individual trees (Holmgren and Persson 2004, Brandtberg 2007), as well as delineation of crown boundaries (Popescu et al. 2003, Lee and Lucas, 2007).”
Analyzing High Resolution Topography for Advancing the Understanding of Mass and Energy Transfer Through Landscapes: A Review (2015, unknown): “…al., 36 AC C EP TE D M AN U SC R IP T 2009; Roering et al., 2009; Tarolli et al., 2012), river bed and floodplain mor- phology (Marcus and Fonstad, 2010; Belmont, 2011), and vegetation character-1005 istics (Lefsky et al., 2002; Brandtberg, 2007; Breidenbach et al., 2010; Gleason and Im, 2012b,a).”
Living and dying in a multi‐predator landscape of fear: roe deer are squeezed by contrasting pattern of predation risk imposed by lynx and humans (2014, unknown): “One limitation is probably the lack of information about tree species composition, a notorious challenge to extract from LiDAR data except at very high resolution (Turner et al. 2003, Brandtberg 2007), but available from other remote sensing data such as optical information (Ørka et al. 2013).”
Urban tree species mapping using hyperspectral and lidar data fusion (2014, methodology): “…using pulse range and intensity metrics has been undertaken at the leaf type (e.g., Kim, Mcgaughey, Andersen, & Schreuder, 2009; Ørka et al., 2009; Yao, Krzystek, & Heurich, 2012), genus (e.g., Kim, Hinckley, & Briggs, 2011), and species levels (e.g., Brandtberg, 2007; Holmgren & Persson, 2004).”
Assessment of Low Density Full-Waveform Airborne Laser Scanning for Individual Tree Detection and Tree Species Classification (2014, methodology): “In Brandtberg [37], a digraph process was used for tree species classification of leaf-off deciduous (oaks, red maple, and yellow poplar) based on DSC data (12 first returns/m 2 ).”
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution (2013, background): “Complementary to spectral imagery, high-resolution airborne laser scanning (ALS) has become an operational tool in the last decade, which has rendered the classification of individual species more feasible (Brandtberg, 2007; Ørka et al., 2009; Heinzel and Koch, 2011).”
Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees (2008, methodology): “Moreover, Holmgren and Persson (2004) and Brandtberg (2007) also advantageously utilized the intensity information of the laser returns.”