Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management. Casella, E., Rovere, A., Pedroncini, A., Mucerino, L., Casella, M., Cusati, L., A., Vacchi, M., Ferrari, M., & Firpo, M. Estuarine, Coastal and Shelf Science, 149:160-167, Elsevier Ltd, 8, 2014.
Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management [link]Website  doi  abstract   bibtex   
Monitoring the impact of sea storms on coastal areas is fundamental to study beach evolution and the vulnerability of low-lying coasts to erosion and flooding. Modelling wave runup on a beach is possible, but it requires accurate topographic data and model tuning, that can be done comparing observed and modeled runup. In this study we collected aerial photos using an Unmanned Aerial Vehicle after two different swells on the same study area. We merged the point cloud obtained with photogrammetry with multibeam data, in order to obtain a complete beach topography. Then, on each set of rectified and georeferenced UAV orthophotos, we identified the maximum wave runup for both events recognizing the wet area left by the waves. We then used our topography and numerical models to simulate the wave runup and compare the model results to observed values during the two events. Our results highlight the potential of the methodology presented, which integrates UAV platforms, photogrammetry and Geographic Information Systems to provide faster and cheaper information on beach topography and geomorphology compared with traditional techniques without losing in accuracy. We use the results obtained from this technique as a topographic base for a model that calculates runup for the two swells. The observed and modeled runups are consistent, and open new directions for future research.
@article{
 title = {Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management},
 type = {article},
 year = {2014},
 keywords = {MEDFLOOD,MIRAMAR,PLIOMAX,SEAMAP,SLCC},
 pages = {160-167},
 volume = {149},
 websites = {http://linkinghub.elsevier.com/retrieve/pii/S0272771414002273,http://dx.doi.org/10.1016/j.ecss.2014.08.012},
 month = {8},
 publisher = {Elsevier Ltd},
 id = {6b8c62ae-60af-3a28-9f35-c86c2f14af2f},
 created = {2014-09-04T15:13:07.000Z},
 accessed = {2014-09-25},
 file_attached = {true},
 profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},
 last_modified = {2018-07-21T16:17:53.953Z},
 read = {true},
 starred = {true},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Casella2014},
 private_publication = {false},
 abstract = {Monitoring the impact of sea storms on coastal areas is fundamental to study beach evolution and the vulnerability of low-lying coasts to erosion and flooding. Modelling wave runup on a beach is possible, but it requires accurate topographic data and model tuning, that can be done comparing observed and modeled runup. In this study we collected aerial photos using an Unmanned Aerial Vehicle after two different swells on the same study area. We merged the point cloud obtained with photogrammetry with multibeam data, in order to obtain a complete beach topography. Then, on each set of rectified and georeferenced UAV orthophotos, we identified the maximum wave runup for both events recognizing the wet area left by the waves. We then used our topography and numerical models to simulate the wave runup and compare the model results to observed values during the two events. Our results highlight the potential of the methodology presented, which integrates UAV platforms, photogrammetry and Geographic Information Systems to provide faster and cheaper information on beach topography and geomorphology compared with traditional techniques without losing in accuracy. We use the results obtained from this technique as a topographic base for a model that calculates runup for the two swells. The observed and modeled runups are consistent, and open new directions for future research.},
 bibtype = {article},
 author = {Casella, Elisa and Rovere, Alessio and Pedroncini, Andrea and Mucerino, Luigi and Casella, Marco and Cusati, Luis Alberto and Vacchi, Matteo and Ferrari, Marco and Firpo, Marco},
 doi = {10.1016/j.ecss.2014.08.012},
 journal = {Estuarine, Coastal and Shelf Science}
}

Downloads: 0