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This study evaluates an object-based image analysis (OBIA) approach using YOLOv11s-seg instance segmentation model for classifying thermally relevant land cover types from 0.16 m resolution orthophotos across three municipalities in Scania, Sweden. Six thermally relevant classes were defined: asphalt, bright roof, brown roof, dark roof, tree canopy and grass. The model was trained on annotations f
