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Mapping Wild Leek with UAV and Satellite Remote Sensing

dc.contributor.authorMiglhorance, Edmar
dc.contributor.supervisorKnudby, Anders Jensen
dc.date.accessioned2019-03-05T17:07:19Z
dc.date.available2019-03-05T17:07:19Z
dc.date.issued2019-03-05en_US
dc.description.abstractWild leek (Allium tricoccum) is a spring ephemeral of northeastern North America. In the Canadian province of Quebec, it is listed as threatened due to human harvesting, and in Gatineau Park its presence is used as an indicator of human impact. Wild leek grows in patches on the forest floor, and before the tree canopy develops its green leaves are clearly visible through the bare branches of deciduous forests, allowing it to be observed with optical remote sensing. This study developed and tested a new method for monitoring wild leek across large geographic areas by integrating field observations, UAV video, and satellite imagery. Three-cm resolution orthomosaics were generated for five <0.1 km2 sites from the UAV video using Structure-from-Motion, segmented, and classified into wild leek (WL) or other (OT) surface types using a simple greenness threshold. The resulting maps, validated using the field observations, had a high overall accuracy (F1-scores between 0.64 to 0.94). These maps were then used to calibrate a linear model predicting the per-pixel percentage cover of wild leek (%WL) from NDVI in the satellite imagery. The linear model calibrated for a Sentinel-2 image from 2018, covering all of Gatineau Park (~361 km2), allowed %WL to be predicted with an RMSE of 10.32. A similar model calibrated for a WorldView-2 image from 2018 was noisy (RMSE = 37.64), though much improved by resampling this image to match the spatial resolution of Sentinel-2, due to MAUP scale effect (RMSE = 13.06). Testing the potential for satellite-based monitoring of wild leek, the %WL prediction errors were similar when a new linear model was developed using the Sentinel-2 image from 2017 (RMSE = 12.84) and when the model calibrated with the 2018 Sentinel-2 image was applied to the 2017 satellite data (RMSE = 16.97). The linear models developed for the Sentinel-2 and WorldView-2 images from 2018 were used to map wild leek cover for Gatineau Park. Both images allowed production of similar wild leek maps that, based on field experience and visual inspection of the imagery, provide good descriptions of the actual distribution of wild leek at Gatineau Park.en_US
dc.identifier.urihttp://hdl.handle.net/10393/38865
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-23117
dc.language.isoenen_US
dc.publisherUniversité d'Ottawa / University of Ottawaen_US
dc.subjectwild leeken_US
dc.subjectstructure from motion (SfM)en_US
dc.subjectUAVen_US
dc.subjectsatelliteen_US
dc.subjectremote sensingen_US
dc.subjectmappingen_US
dc.subjectunderstory vegetationen_US
dc.titleMapping Wild Leek with UAV and Satellite Remote Sensingen_US
dc.typeThesisen_US
thesis.degree.disciplineArtsen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMScen_US
uottawa.departmentGéographie, environnement et géomatique / Geography, Environment and Geomaticsen_US

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