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Maja Kucharczyk
Maja Kucharczyk
PhD Candidate, University of Calgary
Verified email at ucalgary.ca - Homepage
Title
Cited by
Cited by
Year
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
1272016
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
792018
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
772021
Geographic object-based image analysis: a primer and future directions
M Kucharczyk, GJ Hay, S Ghaffarian, CH Hugenholtz
Remote Sensing 12 (12), 2012, 2020
762020
Weather constraints on global drone flyability
M Gao, CH Hugenholtz, TA Fox, M Kucharczyk, TE Barchyn, PR Nesbit
Scientific reports 11 (1), 12092, 2021
622021
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
152017
UAV–LiDAR accuracy in vegetated terrain
M Kucharczyk, CH Hugenholtz, X Zou
Journal of Unmanned Vehicle Systems 6 (4), 212-234, 2018
142018
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
112019
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
22021
Deep learning as a tool to support geologic mapping tasks in high-resolution image-based applications
PR Nesbit, M Kucharczyk, SM Hubbard
AGU23, 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
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