Drone Mapping Dataset – Fall 2023 – Sugarloaf Island, NC

<p dir="ltr">This dataset includes georeferenced drone-based remote sensing data collected over Sugarloaf Island, North Carolina, during <b>Fall 2023</b> 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.<br><br>The dataset contains two independently processed surveys (East and West island segments), each packaged as a zipped folder.<br><br>Each folder contains:<br>- Orthomosaics (0.7 cm resolution)<br>- Digital elevation models (DEMs, non-interpolated, 5 cm resolution)<br>- Dense point clouds and ground point clouds<br>- Drone imagery<br>- RTK-GNSS ground control points and checkpoint data<br>- Metadata and README files describing acquisition parameters, processing workflow, and accuracy metrics<br><br>These 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.<br><br>Recommended citation formats and use cases are provided in the included README files.<br></p>