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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-1/W1-2023
https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-17-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-17-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
25 May 2023
| 25 May 2023
A REVIEW AND TEST OF SHORELINE EXTRACTION TECHNIQUES
R. Angelini
Department of Civil and Environmental Engineering, University of Florence, Italy
E. Angelats
Geomatics Research Unit. Department of Signal Theory and Comunication (TSC), Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, Spain
G. Luzi
Geomatics Research Unit. Department of Signal Theory and Comunication (TSC), Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, Spain
Departament de Física, Universitat Politècnica de Catalunya, Escola d'Enginyeria de Telecomunicació i Aeroespacial de Castelldefels, Mòdul C3, office 116c/ Esteve Terradas 5 E-08860 Castelldefels Catalonia, Spain
A. Masiero
Department of Civil and Environmental Engineering, University of Florence, Italy
F. Mugnai
Department of Civil and Environmental Engineering, University of Florence, Italy
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Short summary
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The sensitivity to the wave and sea-level forcing sources in predicting a 6-month embayed beach evolution is assessed using two different morphodynamic models. After a successful model calibration using in situ data, other sources are applied. The wave source choice is critical: hindcast data provide wrong results due to an angle bias, whilst the correct dynamics are recovered with the wave conditions from an offshore buoy. The use of different sea-level sources gives no significant differences.
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A. Masiero, P. Dabove, V. Di Pietra, M. Piragnolo, A. Vettore, S. Cucchiaro, A. Guarnieri, P. Tarolli, C. Toth, V. Gikas, H. Perakis, K.-W. Chiang, L. M. Ruotsalainen, S. Goel, and J. Gabela
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A. Masiero, C. Toth, J. Gabela, and G. Retscher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 221–227, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-221-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-221-2021, 2021
E. Angelats, J. A. Navarro, and E. Parés
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 313–319, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-313-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-313-2020, 2020
J. P. Ortiz-Sanz, M. Gil-Docampo, T. Rego-Sanmartín, M. Arza-García, G. Tucci, E. I. Parisi, V. Bonora, and F. Mugnai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 235–241, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-235-2020, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-235-2020, 2020
M. Corongiu, A. Masiero, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 219–225, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-219-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-219-2020, 2020
A. Masiero, G. Sofia, and P. Tarolli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 259–264, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-259-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-259-2020, 2020
A. Masiero, H. Perakis, J. Gabela, C. Toth, V. Gikas, G. Retscher, S. Goel, A. Kealy, Z. Koppányi, W. Błaszczak-Bak, Y. Li, and D. Grejner-Brzezinska
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 549–555, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-549-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-549-2020, 2020
Giovanni Coco, Daniel Calvete, Francesca Ribas, Huib E. de Swart, and Albert Falqués
Earth Surf. Dynam., 8, 323–334, https://doi.org/10.5194/esurf-8-323-2020, https://doi.org/10.5194/esurf-8-323-2020, 2020
Short summary
Short summary
Sandbars are ubiquitous features of the surf zone. They are rarely straight and often develop crescentic shapes. Double sandbar systems are also common, but the possibility of feedback between inner and outer sandbars has not been fully explored. The presence of double sandbar systems affects wave transformation and can result in a variety of spatial patterns. Here we model the conditions, waves and initial bathymetry that lead to the emergence of different patterns.
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F. Mugnai, A. Ridolfi, M. Bianchi, M. Franchi, and G. Tucci
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B. Allotta, R. Costanzi, F. Mugnai, M. Reggiannini, A. Ridolfi, and D. Scaradozzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 63–70, https://doi.org/10.5194/isprs-archives-XLII-2-W15-63-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-63-2019, 2019
A. Masiero, F. Fissore, R. Antonello, A. Cenedese, and A. Vettore
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S. Zahran, A. Masiero, M. M. Mostafa, A. M. Moussa, A. Vettore, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 665–672, https://doi.org/10.5194/isprs-archives-XLII-2-W13-665-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-665-2019, 2019
A. Masiero and D. Costantino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 831–836, https://doi.org/10.5194/isprs-archives-XLII-2-W11-831-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-831-2019, 2019
A. Masiero, G. Tucci, A. Conti, L. Fiorini, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 837–842, https://doi.org/10.5194/isprs-archives-XLII-2-W11-837-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-837-2019, 2019
F. Mugnai, L. Lombardi, G. Tucci, M. Nocentini, G. Gigli, and R. Fanti
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B. G. Marino, A. Masiero, F. Chiabrando, A. M. Lingua, F. Fissore, W. Błaszczak-Bak, and A. Vettore
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A. Masiero, F. Chiabrando, A. M. Lingua, B. G. Marino, F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 473–478, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, 2019
A. Masiero, F. Fissore, M. Piragnolo, A. Guarnieri, F. Pirotti, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 289–293, https://doi.org/10.5194/isprs-archives-XLII-1-289-2018, https://doi.org/10.5194/isprs-archives-XLII-1-289-2018, 2018
M. Sakr, A. Masiero, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 379–385, https://doi.org/10.5194/isprs-archives-XLII-1-379-2018, https://doi.org/10.5194/isprs-archives-XLII-1-379-2018, 2018
S. Zahran, M. M. Mostafa, A. Masiero, A. M. Moussa, A. Vettore, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 469–476, https://doi.org/10.5194/isprs-archives-XLII-1-469-2018, https://doi.org/10.5194/isprs-archives-XLII-1-469-2018, 2018
A. Masiero, F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 683–690, https://doi.org/10.5194/isprs-archives-XLII-2-683-2018, https://doi.org/10.5194/isprs-archives-XLII-2-683-2018, 2018
A. Masiero
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A. Masiero, F. Fissore, A. Guarnieri, M. Piragnolo, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 147–153, https://doi.org/10.5194/isprs-archives-XLII-2-W8-147-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-147-2017, 2017
E. Angelatsa, M. E. Parés, and I. Colomina
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 805–811, https://doi.org/10.5194/isprs-archives-XLI-B3-805-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-805-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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