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Detection and Mapping of Shipwrecks in Al-Hoceima Coastal Using Remote Sensing

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
On the Mediterranean coast of Morocco, many military ships were sunk in the Al-Hoceima region during Rif war between Spanish army and the local Riffians. The aim of this study is to detect and to map shipwrecks embedded in sea-floor sediments in Al-Hoceima coastal. It has been carried out using free satellite radar image and the open-source software Sentinel Application Platform. The result of this study shows five possible locations of shipwrecks in the study area, two of them were confirmed by data shipwrecks of the Spanish hydrographic institute.
Słowa kluczowe
EN
Twórcy
autor
  • The Department of Earth and Environmental Sciences, The Faculty of Sciences and Technique of Al-Hoceima, The Abdelmalek Essaâdi University, Tétouan, Morocco
  • The Department of Geology, The Faculty of Sciences and Techniques of Tanger, The Abdelmalek Essaadi University, Tétouan, Morocco
  • The Department of Earth and Environmental Sciences, The Faculty of Sciences and Technique of Al-Hoceima, The Abdelmalek Essaâdi University, Tétouan, Morocco
  • Laboratory of Water and Environmental Engineering, Al Hoceima National School of Applied Sciences, The Abdelmalek Essaâdi University, Tétouan, Morocco
  • The Department of Geology, The Faculty of Sciences of Tétouan, Abdelmalek Essaâdi University, Tétouan, Morocco
  • The Department of Earth and Environmental Sciences, The Faculty of Sciences and Technique of Al-Hoceima, The Abdelmalek Essaâdi University, Tétouan, Morocco
Bibliografia
  • 1. Character, L., Ortiz, A., Beach, T., Luzzadder-Beach, S. 2021. Archaeologic machine learning for shipwreck detection using lidar and sonar. Remote Sensing, 13(9), 1–15. https://doi.org/10.3390/rs13091759
  • 2. Danese, M., Gioia, D., Vitale, V., Abate, N., Amodio, A.M., Lasaponara, R., Masini, N. 2022. Pattern Recognition Approach and LiDAR for the Analysis and Mapping of Archaeological Looting: Application to an Etruscan Site. Remote Sensing, 14(7), 1587. https://doi.org/10.3390/rs14071587
  • 3. Geraga, M., Christodoulou, D., Eleftherakis, D., Papatheodorou, G., Fakiris, E., Dimas, X., Georgiou, N., Kordella, S., Prevenios, M., Iatrou, M., Zoura, D., Kekebanou, S., Sotiropoulos, M., Ferentinos, G. 2020. Atlas of Shipwrecks in Inner Ionian Sea (Greece): A Remote Sensing Approach. Heritage, 3(4), 1210–1236. https://doi.org/10.3390/heritage3040067
  • 4. Gkionis, P., Papatheodorou, G., Geraga, M. 2021. The benefits of 3d and 4d synthesis of marine geophysical datasets for analysis and visualisation of shipwrecks, and for interpretation of physical processes over shipwreck sites: A case study off methoni, Greece. Journal of Marine Science and Engineering, 9(11). https://doi.org/10.3390/jmse9111255
  • 5. Grøn, O., Boldreel, L.O., Cvikel, D., Kahanov, Y., Galili, E., Hermand, J.P., Nævestad, D., Reitan, M. 2015. Detection and mapping of shipwrecks embedded in sea-floor sediments. Journal of Archaeological Science: Reports, 4(February 2018), 242–251. https://doi.org/10.1016/j.jasrep.2015.09.005
  • 6. Grządziel, A. 2020. Using remote sensing techniques to document and identify the largest underwater object of the baltic sea: Case study of the only german aircraft carrier, graf zeppelin. Remote Sensing, 12(24), 1–23. https://doi.org/10.3390/rs12244076
  • 7. Leidwanger, J., Howitt-marshall, D.S. 1978. Archaeological applications for remote sensing in the coastal waters of Cyprus : the experience of recent fieldwork and methodology for the future.
  • 8. Ødegård, Ø., Sørensen, A.J., Hansen, R.E., Ludvigsen, M. 2016. A new method for underwater archaeological surveying using sensors and unmanned platforms. IFAC-PapersOnLine, 49(23), 486–493. https://doi.org/10.1016/j.ifacol.2016.10.453
  • 9. Papatheodorou, G., Stefatos, A., Christodoulou, D., Ferentinos, G. 2001. Remote sensing in submarine archaeology and marine cultural resources management: An ancient shipwreck outside Zakynthos port, Greece. Proc. of 7th Internatioanl Conference on Environmental Science and Technology, C, Posters, 377–385.
  • 10. Reggiannini, M., Salvetti, O. 2017. Seafloor analysis and understanding for underwater archeology. Journal of Cultural Heritage, 24, 147–156. https://doi.org/10.1016/j.culher.2016.10.012
  • 11. Secci, M., Demesticha, S., Jimenez, C., Papadopoulou, C., Katsouri, I. 2021. A living shipwreck: An integrated three-dimensional analysis for the understanding of site formation processes in archaeological shipwreck sites. Journal of Archaeological Science: Reports, 35(June 2020), 1–11. https://doi.org/10.1016/j.jasrep.2020.102731
  • 12. Zhang, T., Zhang, X., Ke, X., Zhan, X., Shi, J., Wei, S., Pan, D., Li, J., Su, H., Zhou, Y., Kumar, D. 2020. LS-SSDD-v1.0: A deep learning dataset dedicated to small ship detection from large-scale Sentinel-1 SAR images. Remote Sensing, 12(18), 1–37. https://doi.org/10.3390/RS12182997
  • 13. Mundo Gráfico, número 85 de 11 de junio de 1913, página 18.
  • 14. Bourjila, A.C. El. The captain and the wars of the Rif. Shop my books, 125.
  • 15. De Alvarez, J. 2001. Contribution in comparative colonial studies, 40.
  • 16. Rais, A. 2016. Testimonies about the resistance during the era of the leader Muhammad bin Abdel Karim Al-Khattabi. Tifraz publications.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1db9dcf9-d87a-4d4c-b8ca-3aae2922c0f4
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