Drone Mapping Dataset – Fall 2024 – Sugarloaf Island, NC

This dataset includes georeferenced drone-based remote sensing data collected over Sugarloaf Island, North Carolina, during Fall 2024 as part of a multi-season shoreline monitoring program (2023–2025). Data were acquired using RTK-GNSS ground control and processed with Structure-from-Motion (SfM) photogrammetry to support coastal mapping, shoreline monitoring, and research on nature-based solutions.The dataset contains two independently processed surveys (East and West island segments), each packaged as a zipped folder.Each folder contains:- Orthomosaics (0.7 cm resolution)- Digital elevation models (DEMs, non-interpolated, 5 cm resolution)- Dense point clouds and ground point clouds- Drone imagery- RTK-GNSS ground control points and checkpoint data- Metadata and README files describing acquisition parameters, processing workflow, and accuracy metricsThese data support applications in coastal mapping, shoreline monitoring, nature-based solutions assessment, digital elevation model (DEM) generation, coastal geomorphology, shoreline change analysis, and barrier island restoration monitoring.Recommended citation formats and use cases are provided in the included README files.