Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees

By J. Reitberger, Peter Krzystek, Uwe Stilla. 2008

324 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/0c82b26a76b7487e762d4d13d867789ae168564b

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In Environmental Engineering

In Insect Science

In Nature and Landscape Conservation

Citations in the corpus

Comparison of small-footprint discrete return and full waveform airborne lidar data for estimating multiple forest variables (2016, background): “Due to limitations in the design of most multi-71 return airborne lidar systems, there is a sizable ‘blind spot’ (or dead zone) following each 72 detected return (typically 1.2 m to 5.0 m) in which no other surfaces can be detected 73 (Reitberger et al., 2008).”
Estimation of stand variables in Pinus radiata D. Don plantations using different LiDAR pulse densities (2012, background): “LiDAR sensors are designed to provide three-dimensional data, thus allowing direct measurement of the canopy structure (Reitberger et al., 2008; Wagner et al., 2008).”
IDENTIFYING STANDING DEAD TREES IN FOREST AREAS BASED ON 3D SINGLE TREE DETECTION FROM FULL WAVEFORM LIDAR DATA (2012, methodology): “Based on our previous work (Reitberger et al., 2008), the sixgroup salient features Stree={Sg, SI, SW, Sn, Sf SC} of a tree can be defined to reflect the tree geometric and physical properties. The features will be defined as follows, respectively, while the detailed definition of the first four fea”
Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification (2010, methodology): “Recent research on forest characterization using LIDAR data is dominated by high-posting-density LIDAR data (e.g., Brandtberg et al., 2003; Reitberger et al., 2008) due to the ability of such data to derive individual tree structure.”
Analysis of full-waveform LiDAR data for classification of an orange orchard scene (2013, unknown): “…returns over the number of single returns (Rutzinger et al., 2008), or number of first and middle returns over the number of single and last returns (Höfle and Hollaus, 2010; Höfle et al., 2012, 2008), or the number of single returns over the number of multiple returns (Reitberger et al., 2008).”
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest (2014, methodology): “Likewise, the LiDAR community has been very active in developing techniques for extracting features from the raw data for various applications [12]–[15].”
Analysis of full-waveform LiDAR data for forestry applications: a review of investigations and methods (2011, methodology): “* Reitberger et al. (2008) Tree features computed from the 3-di mensional coordinates of the reflec tions, the intensity and the pulse width are used to detect coniferous and de ciduous trees by an unsupervised clas sification 85% and 96% accuracy re spectively for leaf-on and leaf-off conditions…”
Assessment of Low Density Full-Waveform Airborne Laser Scanning for Individual Tree Detection and Tree Species Classification (2014, methodology): “[30] studied the use of intensity and pulse width for discriminating conifer and deciduous trees.”