K
Kim Calders
Researcher at Ghent University
Publications - 122
Citations - 4234
Kim Calders is an academic researcher from Ghent University. The author has contributed to research in topics: Lidar & Point cloud. The author has an hindex of 27, co-authored 99 publications receiving 2630 citations. Previous affiliations of Kim Calders include National Physical Laboratory & Wageningen University and Research Centre.
Papers
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Journal ArticleDOI
Nondestructive estimates of above‐ground biomass using terrestrial laser scanning
Kim Calders,Glenn Newnham,Andrew Burt,Simon Murphy,Pasi Raumonen,Martin Herold,Darius S. Culvenor,Valerio Avitabile,Mathias Disney,John Armston,Mikko Kaasalainen +10 more
TL;DR: In this article, the authors developed an approach to estimate AGB from TLS data, which does not need any prior information about allometry and does not rely on indirect relationships with tree parameters or calibration data.
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SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds
TL;DR: An open source tool, capable of modelling highly accurate cylindrical tree models from terrestrial laser scan point clouds, is presented and evaluated and a global statistical improvement of derived cylinder radii is presented as well as an efficient optimization approach to automatically improve user given input parameters.
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Data acquisition considerations for Terrestrial Laser Scanning of forest plots
Phil Wilkes,Alvaro Lau,Mathias Disney,Kim Calders,Kim Calders,Andrew Burt,Jose Gonzalez de Tanago,Harm Bartholomeus,Benjamin Brede,Martin Herold +9 more
TL;DR: In this article, the authors review their experience of TLS sampling strategies from 27 campaigns conducted over the past 5 years, across tropical and temperate forest plots, where data was captured with a RIEGL VZ-400 laser scanner.
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Forest Inventory with Terrestrial LiDAR: A Comparison of Static and Hand-Held Mobile Laser Scanning
TL;DR: In this paper, a hand-held mobile laser scanner (HMLS) was compared with two TLS approaches (single scan: SS, and multi scan: MS) for the estimation of several forest parameters in a wide range of forest types and structures.
Journal ArticleDOI
Terrestrial laser scanning in forest ecology: Expanding the horizon
Kim Calders,Jennifer Adams,John Armston,Harm Bartholomeus,Sébastien Bauwens,Lisa Patrick Bentley,Jérôme Chave,F. Mark Danson,Miro Demol,Miro Demol,Mathias Disney,Rachel Gaulton,Sruthi M. Krishna Moorthy,Shaun R. Levick,Ninni Saarinen,Ninni Saarinen,Crystal B. Schaaf,Atticus E. L. Stovall,Louise Terryn,Phil Wilkes,Hans Verbeeck +20 more
TL;DR: In this article, the authors provide an interdisciplinary focus to explore current developments in terrestrial laser scanning (TLS) to measure and monitor forest structure, and argue that TLS data will play a critical role in understanding fundamental ecological questions about tree size and shape, allometric scaling, metabolic function and plasticity of form.