| International benchmarking of terrestrial laser scanning approaches for forest inventories X Liang, J Hyyppä, H Kaartinen, M Lehtomäki, J Pyörälä, N Pfeifer, ... ISPRS journal of photogrammetry and remote sensing 144, 137-179, 2018 | 400 | 2018 |
| See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning Z Xi, C Hopkinson, SB Rood, DR Peddle ISPRS Journal of Photogrammetry and Remote Sensing 168, 1-16, 2020 | 118 | 2020 |
| Filtering stems and branches from terrestrial laser scanning point clouds using deep 3-D fully convolutional networks Z Xi, C Hopkinson, L Chasmer Remote Sensing 10 (8), 1215, 2018 | 45 | 2018 |
| Automating plot-level stem analysis from terrestrial laser scanning Z Xi, C Hopkinson, L Chasmer Forests 7 (11), 252, 2016 | 27 | 2016 |
| Detecting individual-tree crown regions from terrestrial laser scans with an anchor-free deep learning model Z Xi, C Hopkinson Canadian Journal of Remote Sensing 47 (2), 228-242, 2021 | 14 | 2021 |
| 3D Graph-Based Individual-Tree Isolation (Treeiso) from Terrestrial Laser Scanning Point Clouds Z Xi, C Hopkinson Remote Sensing 14 (23), 6116, 2022 | 12 | 2022 |
| Delineating and reconstructing 3D forest fuel components and volumes with terrestrial laser scanning Z Xi, L Chasmer, C Hopkinson Remote Sensing 15 (19), 4778, 2023 | 8 | 2023 |
| Supervised terrestrial to airborne laser scanner model calibration for 3D individual-tree attribute mapping using deep neural networks Z Xi, C Hopkinson, L Chasmer ISPRS Journal of Photogrammetry and Remote Sensing 209, 324-343, 2024 | 5 | 2024 |
| In-Situ LED-Based Observation of Snow Surface and Depth Transects C Barnes, C Hopkinson, T Porter, Z Xi Sensors 20 (8), 2292, 2020 | 5 | 2020 |
| A lightweight leddar optical fusion scanning system (FSS) for canopy foliage monitoring Z Xi, C Hopkinson, SB Rood, C Barnes, F Xu, D Pearce, E Jones Sensors 19 (18), 3943, 2019 | 5 | 2019 |
| The impact of leaf-wood separation algorithms on aboveground biomass estimation from terrestrial laser scanning S Chen, H Verbeeck, L Terryn, WAJ Van den Broeck, MB Vicari, M Disney, ... Remote Sensing of Environment 318, 114581, 2025 | 1 | 2025 |
| A new unified framework for supervised 3D crown segmentation (TreeisoNet) using deep neural networks across airborne, UAV-borne, and terrestrial laser scans Z Xi, D Degenhardt ISPRS Open Journal of Photogrammetry and Remote Sensing 15, 100083, 2025 | | 2025 |
| Estimating and Mapping the LAI and Mean Crown Radius of Forest from Airborne Images: A Case Study in the Zaleski State Forest Z Xi The Ohio State University, 2013 | | 2013 |
Chris HopkinsonProfessor of Geography & Environment, University of LethbridgeCorreu electrònic verificat a uleth.ca