Ghent University Academic Bibliography

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Your filters: cql: keyword exact "terrestrial lidar" cql: author exact 802002712396 or (type exact bookEditor and editor exact 802002712396)

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Capturing seasonal radial growth of boreal trees with terrestrial laser scanning

T. Yrttimaa, S. Junttila, V. Luoma, Kim Calders (UGent) , V. Kankare, N. Saarinen, A. Kukko, M. Holopainen, J. Hyyppä and M. Vastaranta

(2023) FOREST ECOLOGY AND MANAGEMENT. 529.
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Volumetric overestimation of small branches in 3D reconstructions of Fraxinus excelsior

Miro Demol (UGent) , Phil Wilkes, Pasi Raumonen, Sruthi Krishna Moorthy Parvathi (UGent) , Kim Calders (UGent) , Bert Gielen and Hans Verbeeck (UGent)

(2022) SILVA FENNICA. 56(1).
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Biomass expansion factors for hedgerow-grown trees derived from terrestrial LiDAR

Sanne Van Den Berge (UGent) , Pieter Vangansbeke (UGent) , Kim Calders (UGent) , Thomas Vanneste (UGent) , Lander Baeten (UGent) , Hans Verbeeck (UGent) , Sruthi Krishna Moorthy Parvathi (UGent) and Kris Verheyen (UGent)

(2021) BIOENERGY RESEARCH. 14(2). p.561-574
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Consequences of vertical basic wood density variation on the estimation of aboveground biomass with terrestrial laser scanning

Miro Demol (UGent) , Kim Calders (UGent) , Sruthi Krishna Moorthy Parvathi (UGent) , Jan Van den Bulcke (UGent) , Hans Verbeeck (UGent) and Bert Gielen

(2021) TREES-STRUCTURE AND FUNCTION. 35(2). p.671-684
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Mapping tropical forest trees across large areas with lightweight cost-effective terrestrial laser scanning

Shengli Tao, Nicolas Labrière, Kim Calders (UGent) , Fabian Jörg Fischer, E-Ping Rau, Laetitia Plaisance and Jérôme Chave

(2021) ANNALS OF FOREST SCIENCE. 78(4).
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Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests

Sruthi Krishna Moorthy Parvathi (UGent) , Kim Calders (UGent) , Matheus B. Vicari and Hans Verbeeck (UGent)

(2020) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 58(5). p.3057-3070
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An intensity, image-based method to estimate gap fraction, canopy openness and effective leaf area index from phase-shift terrestrial laser scanning

Mirko Grotti, Kim Calders (UGent) , Niall Origo, Nicola Puletti, Alessandro Alivernini, Carlotta Ferrara and Francesco Chianucci

(2020) AGRICULTURAL AND FOREST METEOROLOGY. 280.
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Innovations in ground and airborne technologies as reference and for training and validation : terrestrial laser scanning (TLS)

M Disney, A Burt, Kim Calders (UGent) , C Schaaf and A Stovall

(2019) SURVEYS IN GEOPHYSICS. 40(4). p.937-958
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Leaf and wood classification framework for terrestrial LiDAR point clouds

Matheus B Vicari, Mathias Disney, Phil Wilkes, Andrew Burt, Kim Calders (UGent) and William Woodgate

(2019) METHODS IN ECOLOGY AND EVOLUTION. 10(5). p.680-694
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Realistic forest stand reconstruction from terrestrial LiDAR for radiative transfer modelling

Kim Calders (UGent) , Niall Origo, Andrew Burt, Mathias Disney, Joanne Nightingale, Pasi Raumonen, Markku Åkerblom, Yadvinder Malhi and Philip Lewis

(2018) REMOTE SENSING. 10(6).

Academic Bibliography

Capturing seasonal radial growth of boreal trees with terrestrial laser scanning

Volumetric overestimation of small branches in 3D reconstructions of Fraxinus excelsior

Biomass expansion factors for hedgerow-grown trees derived from terrestrial LiDAR

Consequences of vertical basic wood density variation on the estimation of aboveground biomass with terrestrial laser scanning

Mapping tropical forest trees across large areas with lightweight cost-effective terrestrial laser scanning

Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests

An intensity, image-based method to estimate gap fraction, canopy openness and effective leaf area index from phase-shift terrestrial laser scanning

Innovations in ground and airborne technologies as reference and for training and validation : terrestrial laser scanning (TLS)

Leaf and wood classification framework for terrestrial LiDAR point clouds

Realistic forest stand reconstruction from terrestrial LiDAR for radiative transfer modelling

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