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

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Figshare2025-10-21 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Drone_Mapping_Dataset_Seasonal_Structure_Metadata_Template_RTK-GNSS_SfM_Sugarloaf_Island_NC/29649509
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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.The template includes:A detailed Standard Operating Procedure (SOP) in PDF formatReusable metadata templates for point clouds, DEMs, orthomosaics, GNSS control, and nature-based shoreline feature shapefilesAn example seasonal dataset folder with structured subfolders for paired East and West segmentsRefer to README_Drone_Data_Curation_Template.txt for setup and usage instructions.This item also includes a supplementary script folder (code_montecarlo_metashape_1.6.zip) 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.
创建时间:
2025-10-21
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