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Drone Mapping Dataset – Seasonal Structure & Metadata Template – RTK-GNSS & SfM – Sugarloaf Island, NC

dataset
posted on 2025-10-21, 20:28 authored by Sarah PettyjohnSarah Pettyjohn, Hannah SirianniHannah Sirianni, Matthew Sirianni, Brendan Burchi, Rachel K. Gittman
<p dir="ltr">This template provides a complete folder structure, metadata standards, and processing documentation for curating drone-based shoreline monitoring datasets with RTK-GNSS and Structure-from-Motion (SfM) photogrammetry. Originally developed for multi-season coastal monitoring at Sugarloaf Island, North Carolina (2023–2025), it is designed for reuse by researchers and collaborators working in similar coastal environments.</p><p dir="ltr">The template includes:</p><ul><li>A detailed Standard Operating Procedure (SOP) in PDF format</li><li>Reusable metadata templates for point clouds, DEMs, orthomosaics, GNSS control, and nature-based shoreline feature shapefiles</li><li>An example seasonal dataset folder with structured subfolders for paired East and West segments</li></ul><p dir="ltr">Refer to <code>README_Drone_Data_Curation_Template.txt</code> for setup and usage instructions.</p><p dir="ltr">This item also includes a supplementary script folder (<code>code_montecarlo_metashape_1.6.zip</code>) containing a Monte Carlo bundle adjustment script for Agisoft Metashape 1.6+, adapted from James et al. (2017). The script and accompanying README support reproducibility of the RTK-GNSS and SfM georeferencing validation workflow.</p>

Funding

North Carolina Coastal Federation

History

Research Institution(s)

East Carolina University

Contact email

siriannih21@ecu.edu

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