Ghent University Academic Bibliography

Your filters: cql: author="Newnham, Glenn" or (type any "bookEditor issueEditor" and editor="Newnham, Glenn")

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- Journal Article
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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. 9(5). p.587-598
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Tree species classification using structural features derived from terrestrial laser scanning

Louise Terryn (UGent) , Kim Calders (UGent) , Mathias Disney, Niall Origo, Yadvinder Malhi, Glenn Newnham, Pasi Raumonen, Markku Åkerblom and Hans Verbeeck (UGent)

(2020) ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. 168. p.170-181
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- Conference Paper
Tree species recognition using 3D terrestrial laser scanning

Louise Terryn (UGent) , Kim Calders (UGent) , Mathias Disney, Niall Origo, Yadvinder Malhi, Glenn Newnham, Pasi Raumonen and Hans Verbeeck (UGent)

(2019)
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- Journal Article
- A1
Nondestructive estimates of above-ground biomass using terrestrial laser scanning

Kim Calders (UGent) , Glenn Newnham, Andrew Burt, Simon Murphy, Pasi Raumonen, Martin Herold, Darius Culvenor, Valerio Avitabile, Mathias Disney, John Armston, et al.

(2015) METHODS IN ECOLOGY AND EVOLUTION. 6(2). p.198-208
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- Journal Article
- A1
Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR

Kim Calders (UGent) , John Armston, Glenn Newnham, Martin Herold and Nicholas Goodwin

(2014) AGRICULTURAL AND FOREST METEOROLOGY. 194. p.104-117

Academic Bibliography

StrucNet : a global network for automated vegetation structure monitoring

Tree species classification using structural features derived from terrestrial laser scanning

Tree species recognition using 3D terrestrial laser scanning

Nondestructive estimates of above-ground biomass using terrestrial laser scanning

Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR

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