
doi: 10.26108/d0vj-a765
Sable Island, Nova Scotia is a unique sand dune 283 km southeast of Halifax, Nova Scotia. Home to several species at risk, the Island is held together by wind, currents, and, most importantly, a delicate layer of vegetation. Monitoring the Island's land-cover has been recommended as part of the conservation strategy for Sable Island (Beson, 1998). Using object-based image analysis, a high-resolution land-cover dataset of Sable Island was created from aerial imagery and air-borne LiDAR. Using these datasets and eCognition 8.7 (Definiens, 2011) 11 land-cover classes (12 including the surrounding ocean) were identified and mapped, with an overall accuracy of 73.6%. This classification offers several improvements over the manual classification of the same datasets in that it is of higher resolution and identifies a greater number of land-cover classes.
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