Kim Calders
Kim Calders
Professor of Earth Observation & Terrestrial Ecology, Ghent University
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Cited by
Cited by
Nondestructive estimates of above‐ground biomass using terrestrial laser scanning
K Calders, G Newnham, A Burt, S Murphy, P Raumonen, M Herold, ...
Methods in Ecology and Evolution 6 (2), 198-208, 2015
Data acquisition considerations for terrestrial laser scanning of forest plots
P Wilkes, A Lau, M Disney, K Calders, A Burt, JG de Tanago, ...
Remote Sensing of Environment 196, 140-153, 2017
SimpleTree—an efficient open source tool to build tree models from TLS clouds
J Hackenberg, H Spiecker, K Calders, M Disney, P Raumonen
Forests 6 (11), 4245-4294, 2015
Forest inventory with terrestrial LiDAR: A comparison of static and hand-held mobile laser scanning
S Bauwens, H Bartholomeus, K Calders, P Lejeune
Forests 7 (6), 127, 2016
Terrestrial laser scanning for plot-scale forest measurement
GJ Newnham, JD Armston, K Calders, MI Disney, JL Lovell, CB Schaaf, ...
Current Forestry Reports 1 (4), 239-251, 2015
Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR
J Gonzalez de Tanago, A Lau, H Bartholomeus, M Herold, V Avitabile, ...
Methods in Ecology and Evolution 9, 223-234, 2018
Massive-scale tree modelling from TLS data.
P Raumonen, M ┼kerblom, M Kaasalainen, E Casella, K Calders, ...
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 2, 2015
Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR
K Calders, J Armston, G Newnham, M Herold, N Goodwin
Agricultural and Forest Meteorology 194, 104-117, 2014
Weighing trees with lasers: advances, challenges and opportunities
MI Disney, M Boni Vicari, A Burt, K Calders, SL Lewis, P Raumonen, ...
Interface Focus 8 (2), 20170048, 2018
Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements
K Calders, T Schenkels, H Bartholomeus, J Armston, J Verbesselt, ...
Agricultural and Forest Meteorology 203, 158-168, 2015
Extracting individual trees from lidar point clouds using treeseg
A Burt, M Disney, K Calders
Methods in Ecology and Evolution 10 (3), 438-445, 2019
Realistic forest stand reconstruction from terrestrial LiDAR for radiative transfer modelling
K Calders, N Origo, A Burt, M Disney, J Nightingale, P Raumonen, ...
Remote Sensing 10 (6), 933, 2018
The importance of consistent global forest aboveground biomass product validation
L Duncanson, J Armston, M Disney, V Avitabile, N Barbier, K Calders, ...
Surveys in geophysics 40 (4), 979-999, 2019
Evaluation of the range accuracy and the radiometric calibration of multiple terrestrial laser scanning instruments for data interoperability
K Calders, MI Disney, J Armston, A Burt, B Brede, N Origo, J Muir, ...
IEEE Transactions on Geoscience and Remote Sensing 55 (5), 2716-2724, 2017
Leaf and wood classification framework for terrestrial LiDAR point clouds
MB Vicari, M Disney, P Wilkes, A Burt, K Calders, W Woodgate
Methods in Ecology and Evolution 10 (5), 680-694, 2019
New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
Y Malhi, T Jackson, L Patrick Bentley, A Lau, A Shenkin, M Herold, ...
Interface Focus 8 (2), 20170052, 2018
How management intensity and neighborhood composition affect the structure of beech (Fagus sylvatica L.) trees
J Juchheim, P Annigh÷fer, C Ammer, K Calders, P Raumonen, D Seidel
Trees, 1-13, 2017
Terrestrial laser scanning in forest ecology: expanding the horizon
K Calders, J Adams, J Armston, H Bartholomeus, S Bauwens, ...
Remote Sensing of Environment 251, 112102, 2020
Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR
B Brede, K Calders, A Lau, P Raumonen, HM Bartholomeus, M Herold, ...
Remote Sensing of Environment 233, 111355, 2019
Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index
K Calders, N Origo, M Disney, J Nightingale, W Woodgate, J Armston, ...
Agricultural and Forest Meteorology 252, 231-240, 2018
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