Data and information obtained from low-cost uncrewed aerial vehicles (UAVs), commonly called ‘drones’, can be used to support coastal monitoring on erosion study. The Structure from Motion (SfM) techniques allow to reconstruction of a high-resolution Digital Elevation Model (DEM) useful to assess shoreline e dune mass, starting from the images acquired by UAVs. Flight procedures, acquisition methods and ground references are important parameters to be carefully managed to achieve the necessary accuracy. However, the size of the areas to be monitored and the frequency of measurements require demanding resources that can limit studies when they are insufficient. This work aims to investigate the best flight and processing settings for applying SfM for coastal monitoring. The parameters investigated are for example the drone type, flight height, ground control points (GCPs) position and post-processing parameters. The results of these evaluations and the proposed procedure are shown.
University of Pisa, Italy - ORCID: 0000-0002-0913-3825
Clinical Physiology Institute CNR, Italy - ORCID: 0000-0002-9799-7059
University of Pisa, Italy - ORCID: 0000-0003-1482-2630
Chapter Title
Uncrewed aerial vehicles: an investigation of the parameter influences for coastal monitoring
Authors
Marco Luppichini, Marco Paterni, Monica Bini
Language
Italian
DOI
10.36253/979-12-215-0556-6.66
Peer Reviewed
Publication Year
2024
Copyright Information
© 2024 Author(s)
Content License
Metadata License
Book Title
Tenth International Symposium Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques
Book Subtitle
Livorno (Italy) 11th-13th June 2024
Editors
Laura Bonora, Marcantonio Catelani, Matteo De Vincenzi, Giorgio Matteucci
Peer Reviewed
Publication Year
2024
Copyright Information
© 2024 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/979-12-215-0556-6
eISBN (pdf)
979-12-215-0556-6
eISBN (xml)
979-12-215-0557-3
Series Title
Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques
Series E-ISSN
2975-0288