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Monitoring & automated classification
​of threatened least bittern wetland habitat

D. Chabot, PhD thesis
Published in Wetlands & Journal of Unmanned Vehicle Systems

Français
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Orthomosaic of drone imagery (220 photos) of the 130-hectare wetland showing locations of study plots in which habitat analyses were conducted
Small drone aircraft systems can provide convenient and timely monitoring of habitats that are challenging to survey on the ground. Furthermore, they can detect fine-scale features that are indiscernible in traditional aerial or satellite imagery. In this project, high-resolution imagery (9 cm/pixel) collected by a small drone in conjunction with automated image classification techniques proved instrumental in gaining a better understanding of the breeding habitat requirements of the least bittern — a small heron protected under Canada's Species at Risk Act — in a wetland impoundment in Baie-du-Febvre (Québec) that has been designated as critical habitat.
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Original drone aerial imagery
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Classified into water, floating vegetation & emergent vegetation
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Emergent vegetation further classified by species
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