Ghent University Academic Bibliography

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Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds

Xin Xu, Federico Iuricich, Kim Calders (UGent) , John Armston and Leila De Floriani

(2023) INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION. 116.
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StrucNet : a global network for automated vegetation structure monitoring

Kim Calders (UGent) , Benjamin Brede, Glenn Newnham, Darius Culvenor, John Armston, Harm Bartholomeus, Anne Griebel, Jodie Hayward, Samuli Junttila, Alvaro Lau, et al.

(2023) REMOTE SENSING IN ECOLOGY AND CONSERVATION. p.1-12
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Estimating forest above-ground biomass with terrestrial laser scanning : current status and future directions

Miro Demol (UGent) , Hans Verbeeck (UGent) , Bert Gielen, John Armston, Andrew Burt, Mathias Disney, Laura Duncanson, Jan Hackenberg, Daniel Kukenbrink, Alvaro Lau, et al.

(2022) METHODS IN ECOLOGY AND EVOLUTION. 13(8). p.1628-1639
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Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Laura Duncanson, James R. Kellner, John Armston, Ralph Dubayah, David M. Minor, Steven Hancock, Sean P. Healey, Paul L. Patterson, Svetlana Saarela, Suzanne Marselis, et al.

(2022) REMOTE SENSING OF ENVIRONMENT. 270.
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- Miscellaneous
3D imaging insights into forests and coral reefs

Kim Calders (UGent) , Stuart Phinn, Renata Ferrari, Javier Leon, John Armston, Gregory P. Asner and Mathias Disney

(2020) TRENDS IN ECOLOGY & EVOLUTION. 35(1). p.6-9
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Terrestrial laser scanning in forest ecology : expanding the horizon

Kim Calders (UGent) , Jennifer Adams, John Armston, Harm Bartholomeus, Sebastien Bauwens, Lisa Patrick Bentley, Jerome Chave, F. Mark Danson, Miro Demol (UGent) , Mathias Disney, et al.

(2020) REMOTE SENSING OF ENVIRONMENT. 251.
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Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness

Suzanne M. Marselis, Katharine Abernethy, Alfonso Alonso, John Armston, Timothy R. Baker, Jean-Francois Bastin (UGent) , Jan Bogaert, Doreen S. Boyd, Pascal Boeckx (UGent) , David F. R. P. Burslem, et al.

(2020) GLOBAL ECOLOGY AND BIOGEOGRAPHY. 29(10). p.1799-1816
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The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Dmitry Schepaschenko, Jerome Chave, Oliver L. Phillips, Simon L. Lewis, Stuart J. Davies, Maxime Rejou-Mechain, Plinio Sist, Klaus Scipal, Christoph Perger, Bruno Herault, et al.

(2019) SCIENTIFIC DATA. 6.
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Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index

Kim Calders (UGent) , Niall Origo, Mathias Disney, Joanne Nightingale, William Woodgate, John Armston and Philip Lewis

(2018) AGRICULTURAL AND FOREST METEOROLOGY. 252. p.231-240
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Assessing the structural differences between tropical forest types using Terrestrial Laser Scanning

Mathieu Decuyper, Kalkidan Ayele Mulatu, Benjamin Brede, Kim Calders (UGent) , John Armston, Danaë MA Rozendaal, Brice Mora, Jan GPW Clevers, Lammert Kooistra, Martin Herold, et al.

(2018) FOREST ECOLOGY AND MANAGEMENT. 429. p.327-335

Academic Bibliography

Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds

StrucNet : a global network for automated vegetation structure monitoring

Estimating forest above-ground biomass with terrestrial laser scanning : current status and future directions

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

3D imaging insights into forests and coral reefs

Terrestrial laser scanning in forest ecology : expanding the horizon

Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index

Assessing the structural differences between tropical forest types using Terrestrial Laser Scanning

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