O
Oliver Lucanus
Researcher at McGill University
Publications - 26
Citations - 394
Oliver Lucanus is an academic researcher from McGill University. The author has contributed to research in topics: Land cover & Photogrammetry. The author has an hindex of 8, co-authored 25 publications receiving 250 citations.
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Journal ArticleDOI
Structure from motion will revolutionize analyses of tidal wetland landscapes
TL;DR: In this article, the authors used Structure-from-motion (SfM) photogrammetry and a small unmanned aerial vehicle (UAV) to produce 3D point clouds, digital surface models and color orthomosaics for three salt marshes in Eastern Canada.
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Implementation of a UAV–Hyperspectral Pushbroom Imager for Ecological Monitoring
J. Pablo Arroyo-Mora,Margaret Kalacska,Deep Inamdar,Raymond Soffer,Oliver Lucanus,Janine Gorman,Tomas Naprstek,Erica Skye Schaaf,Gabriela Ifimov,Kathryn Elmer,George Leblanc +10 more
TL;DR: Overall, it was found that a flight speed of 2.7 m/s, careful mission planning, and the integration of the bundling adjustment were important system characteristics for optimizing the image quality at an ultra-high spatial resolution (3–5 cm).
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Accuracy of 3D Landscape Reconstruction without Ground Control Points Using Different UAS Platforms
Margaret Kalacska,Oliver Lucanus,J. Pablo Arroyo-Mora,Etienne Laliberté,Kathryn Elmer,George Leblanc,Andrew Groves +6 more
TL;DR: It is found that high positional accuracy is not necessarily related to the platform cost or grade, rather the most important aspect is the use of post-processing kinetic (PPK) or real-time kinetic (RTK) solutions for geotagging the photographs.
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Freshwater Fish Habitat Complexity Mapping Using Above and Underwater Structure-From-Motion Photogrammetry
Margaret Kalacska,Oliver Lucanus,Leandro M. Sousa,Thiago Bernardi Vieira,Juan Pablo Arroyo-Mora +4 more
TL;DR: A novel framework, based on Structure-from-Motion photogrammetry (SfM) and Multi-View Stereo (MVS)Photogrammetry, to quantify habitat complexity in freshwater ecosystems from Unmanned Aerial Vehicle (UAV) and underwater photography is illustrated.
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Estimating Peatland Water Table Depth and Net Ecosystem Exchange: A Comparison between Satellite and Airborne Imagery
Margaret Kalacska,J. P. Arroyo-Mora,Raymond Soffer,Nigel T. Roulet,Tim R. Moore,Elyn Humphreys,George Leblanc,Oliver Lucanus,Deep Inamdar +8 more
TL;DR: This study estimated water table depth from a 6-year time sequence of airborne shortwave infrared (SWIR) hyperspectral imagery and found that the narrowband index NDWI1240 is a strong predictor of water table position.