| Remote sensing technologies for enhancing forest inventories: A review JC White, NC Coops, MA Wulder, M Vastaranta, T Hilker, P Tompalski Canadian Journal of Remote Sensing 42 (5), 619-641, 2016 | 860 | 2016 |
| lidR: An R package for analysis of Airborne Laser Scanning (ALS) data JR Roussel, D Auty, NC Coops, P Tompalski, TRH Goodbody, AS Meador, ... Remote Sensing of Environment 251, 112061, 2020 | 761 | 2020 |
| Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends NC Coops, P Tompalski, TRH Goodbody, M Queinnec, JE Luther, ... Remote Sensing of Environment 260, 112477, 2021 | 246 | 2021 |
| Unmanned aerial systems for precision forest inventory purposes: A review and case study TRH Goodbody, NC Coops, PL Marshall, P Tompalski, P Crawford The Forestry Chronicle 93 (1), 71-81, 2017 | 217 | 2017 |
| Comparing ALS and image-based point cloud metrics and modelled forest inventory attributes in a complex coastal forest environment JC White, C Stepper, P Tompalski, NC Coops, MA Wulder Forests 6 (10), 3704-3732, 2015 | 181 | 2015 |
| Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots G Matasci, T Hermosilla, MA Wulder, JC White, NC Coops, GW Hobart, ... Remote Sensing of Environment 216, 697-714, 2018 | 161 | 2018 |
| Regional mapping of vegetation structure for biodiversity monitoring using airborne lidar data X Guo, NC Coops, P Tompalski, SE Nielsen, CW Bater, JJ Stadt Ecological informatics 38, 50-61, 2017 | 159 | 2017 |
| A forest structure habitat index based on airborne laser scanning data NC Coops, P Tompaski, W Nijland, GJM Rickbeil, SE Nielsen, CW Bater, ... Ecological Indicators 67, 346-357, 2016 | 119 | 2016 |
| Comparison of airborne laser scanning and digital stereo imagery for characterizing forest canopy gaps in coastal temperate rainforests JC White, P Tompalski, NC Coops, MA Wulder Remote Sensing of Environment 208, 1-14, 2018 | 114 | 2018 |
| A model development and application guide for generating an enhanced forest inventory using airborne laser scanning data and an area-based approach JC White, P Tompalski, MA Vastaranta, MA Wulder, NP Saarinen, ... Natural Resources Canada, 2017 | 113 | 2017 |
| Assessing the status of forest regeneration using digital aerial photogrammetry and unmanned aerial systems TRH Goodbody, NC Coops, T Hermosilla, P Tompalski, P Crawford International journal of remote sensing 39 (15-16), 5246-5264, 2018 | 110 | 2018 |
| Detection of sub-canopy forest structure using airborne LiDAR LR Jarron, NC Coops, WH MacKenzie, P Tompalski, P Dykstra Remote Sensing of Environment 244, 111770, 2020 | 106 | 2020 |
| Measuring visual pollution by outdoor advertisements in an urban street using intervisibilty analysis and public surveys S Chmielewski, DJ Lee, P Tompalski, TJ Chmielewski, P Wężyk International Journal of Geographical Information Science 30 (4), 801-818, 2016 | 101 | 2016 |
| Demonstrating the transferability of forest inventory attribute models derived using airborne laser scanning data P Tompalski, JC White, NC Coops, MA Wulder Remote Sensing of Environment 227, 110-124, 2019 | 86 | 2019 |
| Updating residual stem volume estimates using ALS-and UAV-acquired stereo-photogrammetric point clouds TRH Goodbody, NC Coops, P Tompalski, P Crawford, KJK Day International journal of remote sensing 38 (8-10), 2938-2953, 2017 | 81 | 2017 |
| Estimating changes in forest attributes and enhancing growth projections: A review of existing approaches and future directions using airborne 3D point cloud data P Tompalski, NC Coops, JC White, TRH Goodbody, CR Hennigar, ... Current Forestry Reports 7, 1-24, 2021 | 79 | 2021 |
| Combining multi-date airborne laser scanning and digital aerial photogrammetric data for forest growth and yield modelling P Tompalski, NC Coops, PL Marshall, JC White, MA Wulder, T Bailey Remote Sensing 10 (2), 347, 2018 | 72 | 2018 |
| Characterizing understory vegetation in Mediterranean forests using full-waveform airborne laser scanning data P Crespo-Peremarch, P Tompalski, NC Coops, LÁ Ruiz Remote Sensing of Environment 217, 400-413, 2018 | 71 | 2018 |
| Simulating the impacts of error in species and height upon tree volume derived from airborne laser scanning data P Tompalski, NC Coops, JC White, MA Wulder Forest ecology and management 327, 167-177, 2014 | 65 | 2014 |
| Framework for near real-time forest inventory using multi source remote sensing data NC Coops, P Tompalski, TRH Goodbody, A Achim, C Mulverhill Forestry 96 (1), 1-19, 2023 | 63 | 2023 |
Nicholas C CoopsCanada Chair of Remote SensingE-mail confirmado em ubc.ca