UAV photogrammetry-derived DEMs and shoreline data for Keta and Vodza, Ghana

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Authors: Baah Asare-Bediako, Cyril Boateng
Cited by: 0

Abstract

This dataset contains UAV-derived geomorphological products used to analyse short-term morphodynamic variability along protected and semi-protected coasts at Keta and Vodza, Ghana. The data were generated using structure-from-motion (SfM) photogrammetry applied to low-altitude UAV imagery acquired during repeated survey campaigns. The dataset includes processed products used in the analyses presented in the associated publication, including digital elevation models (DEMs) and extracted shoreline positions.

Fields of Study & Subjects

Coastal and Marine Dynamics 3D Surveying and Cultural Heritage Satellite Image Processing and Photogrammetry

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Document type
Dataset