Ghent University Academic Bibliography

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Your filters: cql: author="Burt, Andrew" or (type any "bookEditor journalEditor issueEditor" and editor="Burt, Andrew")

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Canopy wetness in the Eastern Amazon

Oliver Binks, John Finnigan, Ingrid Coughlin, Mathias Disney, Kim Calders (UGent) , Andrew Burt, Matheus Boni Vicari, Antonio Lola da Costa, Maurizio Mencuccini and Patrick Meir

(2021) AGRICULTURAL AND FOREST METEOROLOGY. 297.
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Assessment of bias in pan-tropical biomass predictions

Andrew Burt, Kim Calders (UGent) , Aida Cuni-Sanchez, Jose Gómez-Dans, Philip Lewis, Simon L Lewis, Yadvinder Malhi, Oliver L Phillips and Mathias Disney

(2020) FRONTIERS IN FORESTS AND GLOBAL CHANGE. 3.
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Extracting individual trees from lidar point clouds using treeseg

Andrew Burt, Mathias Disney and Kim Calders (UGent)

(2019) METHODS IN ECOLOGY AND EVOLUTION. 10(3). p.438-445
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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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A new architectural perspective on wind damage in a natural forest

Tobias Jackson, Alexander Shenkin, Bavisha Kalyan, Jessica Zionts, Kim Calders (UGent) , Niall Origo, Mathias Disney, Andrew Burt, Pasi Raumonen and Yadvinder Malhi

(2019) FRONTIERS IN FORESTS AND GLOBAL CHANGE. 1.
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Estimating urban above ground biomass with multi-scale LiDAR

Phil Wilkes, Mathias Disney, Matheus Boni Vicari, Kim Calders (UGent) and Andrew Burt

(2018) CARBON BALANCE AND MANAGEMENT. 13.
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Weighing trees with lasers : advances, challenges and opportunities

Mathias I Disney, Matheus Boni Vicari, Andrew Burt, Kim Calders (UGent) , Simon L Lewis, Pasi Raumonen and Phil Wilkes

(2018) INTERFACE FOCUS. 8(2).
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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).
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Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR

Jose Gonzalez de Tanago, Alvaro Lau, Harm Bartholomeus, Martin Herold, Valerio Avitabile, Pasi Raumonen, Christopher Martius, Rosa C Goodman, Mathias Disney, Solichin Manuri, et al.

(2018) METHODS IN ECOLOGY AND EVOLUTION. 9(2). p.223-234
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Tropical forest canopies and their relationships with climate and disturbance : results from a global dataset of consistent field-based measurements

Marion Pfeifer, Alemu Gonsamo, William Woodgate, Luis Cayuela, Andrew R Marshall, Alicia Ledo, Timothy CE Paine, Rob Marchant, Andrew Burt, Kim Calders (UGent) , et al.

(2018) FOREST ECOSYSTEMS. 5.

Academic Bibliography

Canopy wetness in the Eastern Amazon

Assessment of bias in pan-tropical biomass predictions

Extracting individual trees from lidar point clouds using treeseg

Leaf and wood classification framework for terrestrial LiDAR point clouds

A new architectural perspective on wind damage in a natural forest

Estimating urban above ground biomass with multi-scale LiDAR

Weighing trees with lasers : advances, challenges and opportunities

Realistic forest stand reconstruction from terrestrial LiDAR for radiative transfer modelling

Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR

Tropical forest canopies and their relationships with climate and disturbance : results from a global dataset of consistent field-based measurements

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