| 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 | 509 | 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 | 260 | 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 | 250 | 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 | 241 | 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, 239-251, 2015 | 217 | 2015 |
| 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 | 180 | 2020 |
| 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 | 176 | 2018 |
| Massive-scale tree modelling from TLS data P Raumonen, E Casella, K Calders, S Murphy, M Åkerblom, ... ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015 | 138 | 2015 |
| 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 | 127 | 2018 |
| 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 | 120 | 2019 |
| 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 | 119 | 2019 |
| 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, 979-999, 2019 | 102 | 2019 |
| 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 | 102 | 2014 |
| 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 | 96 | 2015 |
| 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 | 93 | 2018 |
| 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 | 88 | 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 | 75 | 2018 |
| Estimating urban above ground biomass with multi-scale LiDAR P Wilkes, M Disney, MB Vicari, K Calders, A Burt Carbon balance and management 13, 1-20, 2018 | 70 | 2018 |
| Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests SMK Moorthy, K Calders, MB Vicari, H Verbeeck IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3057-3070, 2020 | 68 | 2020 |
| 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 | 66 | 2017 |
Mathias DisneyProfessor of Remote Sensing, University College London, GeographyVerified email at ucl.ac.uk
