Ghent University Academic Bibliography

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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.
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Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests

Louise Terryn (UGent) , Kim Calders (UGent) , Harm Bartholomeus, Renée E. Bartolo, Benjamin Brede, Barbara D'hont (UGent) , Mathias Disney, Martin Herold, Alvaro Lau, Alexander Shenkin, et al.

(2022) REMOTE SENSING OF ENVIRONMENT. 271.
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Non-destructive estimation of individual tree biomass : allometric models, terrestrial and UAV laser scanning

Benjamin Brede, Louise Terryn (UGent) , Nicolas Barbier, Harm M. Bartholomeus, Renée Bartolo, Kim Calders (UGent) , Géraldine Derroire, Sruthi Krishna Moorthy Parvathi (UGent) , Alvaro Lau, Shaun R. Levick, et al.

(2022) REMOTE SENSING OF ENVIRONMENT. 280.
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A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Nicolas Labriere, Pedro Rodriguez-Veiga, Valerio Avitabile, Maurizio Santoro, Edward T.A. Mitchard, Casey M. Ryan, et al.

(2022) REMOTE SENSING OF ENVIRONMENT. 272.
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Co-limitation towards lower latitudes shapes global forest diversity gradients

Jingjing Liang, Javier G. P. Gamarra, Nicolas Picard, Mo Zhou, Bryan Pijanowski, Douglass F. Jacobs, Peter B. Reich, Thomas W. Crowther, Gert-Jan Nabuurs, Sergio de-Miguel, et al.

(2022) NATURE ECOLOGY & EVOLUTION. 6(10). p.1423-1437
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The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

Maurizio Santoro, Oliver Cartus, Nuno Carvalhais, Danaë M. A. Rozendaal, Valerio Avitabile, Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Pedro Rodríguez-Veiga, et al.

(2021) EARTH SYSTEM SCIENCE DATA. 13(8). p.3927-3950
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High aboveground carbon stock of African tropical montane forests

Aida Cuni-Sanchez, Martin J. P. Sullivan, Philip J. Platts, Simon L. Lewis, Rob Marchant, Gérard Imani, Wannes Hubau (UGent) , Iveren Abiem, Hari Adhikari, Tomas Albrecht, et al.

(2021) NATURE. 596(7873). p.536-542
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Thirty years of land cover and fraction cover changes over the Sudano-Sahel using landsat time series

Niels Souverijns, Marcel Buchhorn, Stéphanie Horion, Rasmus Fensholt, Hans Verbeeck (UGent) , Jan Verbesselt, Martin Herold, Nandin-Erdene Tsendbazar, Paulo N. Bernardino, Ben Somers, et al.

(2020) REMOTE SENSING. 12(22).
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Non-destructive tree volume estimation through quantitative structure modelling : comparing UAV laser scanning with terrestrial LiDAR

Benjamin Brede, Kim Calders (UGent) , Alvaro Lau, Pasi Raumonen, Harm M Bartholomeus, Martin Herold and Lammert Kooistra

(2019) REMOTE SENSING OF ENVIRONMENT. 233.
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Tree biomass equations from terrestrial LiDAR : a case study in Guyana

Alvaro Lau, Kim Calders (UGent) , Harm Bartholomeus, Christopher Martius, Pasi Raumonen, Martin Herold, Matheus Vicari, Hansrajie Sukhdeo, Jeremy Singh and Rosa C Goodman

(2019) FORESTS. 10(6).

Academic Bibliography

StrucNet : a global network for automated vegetation structure monitoring

Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests

Non-destructive estimation of individual tree biomass : allometric models, terrestrial and UAV laser scanning

A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

Co-limitation towards lower latitudes shapes global forest diversity gradients

The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

High aboveground carbon stock of African tropical montane forests

Thirty years of land cover and fraction cover changes over the Sudano-Sahel using landsat time series

Non-destructive tree volume estimation through quantitative structure modelling : comparing UAV laser scanning with terrestrial LiDAR

Tree biomass equations from terrestrial LiDAR : a case study in Guyana

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