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https://seabee.no/resources/evaluating-drones-and-novel-imaging-technology-for-mapping-and-monitoring-of-aquatic-environments-msc-thesis/ 2025-08-07T07:15:41+00:00 https://seabee.no/wp-content/uploads/2025/01/Screenshot-2025-01-14-at-10.48.17-scaled.avif https://seabee.no/resources/machine-learning-algorithms-for-habitat-type-prediction-from-drone-based-multispectral-imagery-a-comparison-of-classifiers-bsc-thesis/ 2025-08-07T07:41:29+00:00 https://seabee.no/wp-content/uploads/2025/01/Screenshot-2025-01-14-at-10.48.17-scaled.avif https://seabee.no/resources/using-uavs-to-map-surging-glaciers-in-svalbard-student-research-report/ 2025-08-07T07:56:31+00:00 https://seabee.no/wp-content/uploads/2025/08/Nordenskiold_Land_IMG_4029_Ytterdalen_Fritjovbreen.avif https://seabee.no/resources/coolection-protocol-seabirds/ 2025-08-13T08:40:54+00:00 https://seabee.no/wp-content/uploads/2024/11/Andoy_Natt-scaled.avif https://seabee.no/resources/3d-eelgrass-mapping-with-drone-lidar/ 2026-09-22T12:24:46+00:00 https://seabee.no/wp-content/uploads/2026/04/2remotesensing-18-01278-e1777455336429.avifA 2D representation of the full point cloud from the 50 m LiDAR dataset accurately positioned in 3D (x, y, z). The outline indicates the subsection shown in B. (B) The cleaned 50 m point cloud used to create a 3D representation of the eelgrass meadow. Points are scaled by their intensity values. (C) The intensity scale of the 50 m, annotated vegetation points before classification (colour scaled points). Plots (D–F) display the same information, respectively, of plots (A–C), for the 25 m LiDAR dataset. This figure was created using CloudCompare (2024).