Maja Kucharczyk
Maja Kucharczyk
PhD Candidate, University of Calgary
Verified email at - Homepage
Cited by
Cited by
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
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
Geographic object-based image analysis: a primer and future directions
M Kucharczyk, GJ Hay, S Ghaffarian, CH Hugenholtz
Remote Sensing 12 (12), 2012, 2020
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
UAV–LiDAR accuracy in vegetated terrain
M Kucharczyk, CH Hugenholtz, X Zou
Journal of Unmanned Vehicle Systems 6 (4), 212-234, 2018
Pre-disaster mapping with drones: an urban case study in Victoria, British Columbia, Canada.
M Kucharczyk, CH Hugenholtz
Natural Hazards & Earth System Sciences 19 (9), 2019
UAV-LiDAR and Structure from Motion Photogrammetry: Spatial Accuracy in Vegetated Terrain
M Kucharczyk
Arts, 2017
UAV-LiDAR accuracy and comparison to Structure from Motion photogrammetry
M Kucharczyk, C Hugenholtz, X Zou, PR Nesbit, T Barchyn
AGUFM 2016, H21E-1455, 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, ...
AGUFM 2016, NH13B-08, 2016
Pre-disaster mapping with drones: an urban case study in Victoria, BC, Canada
M Kucharczyk, CH Hugenholtz
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