| Spatial accuracy of UAV-derived orthoimagery and topography: Comparing photogrammetric models processed with direct geo-referencing and ground control points C Hugenholtz, O Brown, J Walker, T Barchyn, P Nesbit, M Kucharczyk, ... Geomatica 70 (1), 21-30, 2016 | 143 | 2016 |
| Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities M Kucharczyk, CH Hugenholtz Remote Sensing of Environment 264, 112577, 2021 | 109 | 2021 |
| Geographic object-based image analysis: a primer and future directions M Kucharczyk, GJ Hay, S Ghaffarian, CH Hugenholtz Remote Sensing 12 (12), 2012, 2020 | 88 | 2020 |
| Weather constraints on global drone flyability M Gao, CH Hugenholtz, TA Fox, M Kucharczyk, TE Barchyn, PR Nesbit Scientific reports 11 (1), 12092, 2021 | 83 | 2021 |
| 3-D stratigraphic mapping using a digital outcrop model derived from UAV images and structure-from-motion photogrammetry PR Nesbit, PR Durkin, CH Hugenholtz, SM Hubbard, M Kucharczyk Geosphere 14 (6), 2469-2486, 2018 | 81 | 2018 |
| UAV–LiDAR accuracy in vegetated terrain M Kucharczyk, CH Hugenholtz, X Zou Journal of Unmanned Vehicle Systems 6 (4), 212-234, 2018 | 19 | 2018 |
| Reported UAV incidents in Canada: analysis and potential solutions PR Nesbit, TE Barchyn, CH Hugenholtz, S Cripps, M Kucharczyk Journal of unmanned vehicle systems 5 (2), 51-61, 2017 | 16 | 2017 |
| Pre-disaster mapping with drones: an urban case study in Victoria, British Columbia, Canada M Kucharczyk, CH Hugenholtz Natural Hazards and Earth System Sciences 19 (9), 2039-2051, 2019 | 12 | 2019 |
| Author Correction: Weather constraints on global drone flyability M Gao, CH Hugenholtz, TA Fox, M Kucharczyk, TE Barchyn, PR Nesbit Scientific Reports 11 (1), 21367, 2021 | 2 | 2021 |
| Deep learning as a tool to support geologic mapping tasks in high-resolution image-based applications PR Nesbit, M Kucharczyk, SM Hubbard AGU Fall Meeting Abstracts 2023 (1714), EP53C-1714, 2023 | | 2023 |
| Pre-and Post-Disaster Remote Sensing with Drones for Supporting Disaster Management M Kucharczyk | | 2023 |
| UAV-LiDAR and Structure from Motion Photogrammetry: Spatial Accuracy in Vegetated Terrain M Kucharczyk University of Calgary, 2017 | | 2017 |
| UAV-LiDAR accuracy and comparison to Structure from Motion photogrammetry M Kucharczyk, C Hugenholtz, X Zou, PR Nesbit, T Barchyn AGU Fall Meeting Abstracts 2016, H21E-1455, 2016 | | 2016 |
| High Resolution Stratigraphic Mapping in Complex Terrain: A Comparison of Traditional Remote Sensing Techniques with Unmanned Aerial Vehicle-Structure from Motion Photogrammetry PR Nesbit, C Hugenholtz, P Durkin, SM Hubbard, M Kucharczyk, ... AGU Fall Meeting Abstracts 2016, NH13B-08, 2016 | | 2016 |
| Pre-disaster mapping with drones: an urban case study in Victoria, BC, Canada M Kucharczyk, CH Hugenholtz | | |
