Ocean remote sensing techniques and applications: a review (Part I)
Oceans cover over 70% of the Earth’s surface and provide numerous services to humans and the environment. Therefore, it is crucial to monitor these valuable assets using advanced technologies. In this regard, Remote Sensing (RS) provides a great opportunity to study different oceanographic parameter...
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Online Access: | http://hdl.handle.net/2117/391125 https://doi.org/10.3390/w14213400 |
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ftupcatalunyair:oai:upcommons.upc.edu:2117/391125 2023-08-15T12:43:04+02:00 Ocean remote sensing techniques and applications: a review (Part I) Amani, Meisam Moghimi, Armin Mirmazloumi, Seyedmohammad Ranjgar, Babak Ghorbanian, Arsalan Ojaghi, Saeid Ebrahimy, Hamid Naboureh, Amin Nazari, Mohsen Eslami Mahdavi, Sahel Moghaddam, Sayyed Hamed Alizadeh Asiyabi, Reza Mohammadi Ahmadi, Seyed Ali Mehravar, Soroosh Mohseni, Farzane Jin, Shuanggen Universitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials 2022-10-26 application/pdf http://hdl.handle.net/2117/391125 https://doi.org/10.3390/w14213400 eng eng Multidisciplinary Digital Publishing Institute (MDPI) https://www.mdpi.com/2073-4441/14/21/3400 Amani, M. [et al.]. Ocean remote sensing techniques and applications: a review (Part I). "Water (Basel)", 26 Octubre 2022, vol. 14, núm. 21, article 3400. 2073-4441 http://hdl.handle.net/2117/391125 doi:10.3390/w14213400 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Open Access Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Remote sensing Sea level Ocean waves Ocean Ocean wind Ocean current Ocean wave Ocean tide Ship detection Teledetecció Nivell del mar Onades Article 2022 ftupcatalunyair https://doi.org/10.3390/w14213400 2023-07-25T23:07:07Z Oceans cover over 70% of the Earth’s surface and provide numerous services to humans and the environment. Therefore, it is crucial to monitor these valuable assets using advanced technologies. In this regard, Remote Sensing (RS) provides a great opportunity to study different oceanographic parameters using archived consistent multitemporal datasets in a cost-efficient approach. So far, various types of RS techniques have been developed and utilized for different oceanographic appli- cations. In this study, 15 applications of RS in the ocean using different RS techniques and systems are comprehensively reviewed and discussed. This study is divided into two parts to supply more detailed information about each application. The first part briefly discusses 12 different RS systems that are often employed for ocean studies. Then, six applications of these systems in the ocean, including Ocean Surface Wind (OSW), Ocean Surface Current (OSC), Ocean Wave Height (OWH), Sea Level (SL), Ocean Tide (OT), and Ship Detection (SD), are provided. For each application, the applicable RS systems, their advantages and disadvantages, various RS and Machine Learning (ML) techniques, and several case studies are discussed. The other nine applications, including Iceberg, Sea Ice (SI), Sea Surface temperature (SST), Ocean Surface Salinity (OSS), Ocean Color (OC), Ocean Chlorophyll (OCh), Ocean Oil Spill (OOS), Underwater Ocean, and Fishery, are provided in Part II of this study. Peer Reviewed Postprint (published version) Article in Journal/Newspaper Sea ice Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge Water 14 21 3400 |
institution |
Open Polar |
collection |
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge |
op_collection_id |
ftupcatalunyair |
language |
English |
topic |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Remote sensing Sea level Ocean waves Ocean Ocean wind Ocean current Ocean wave Ocean tide Ship detection Teledetecció Nivell del mar Onades |
spellingShingle |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Remote sensing Sea level Ocean waves Ocean Ocean wind Ocean current Ocean wave Ocean tide Ship detection Teledetecció Nivell del mar Onades Amani, Meisam Moghimi, Armin Mirmazloumi, Seyedmohammad Ranjgar, Babak Ghorbanian, Arsalan Ojaghi, Saeid Ebrahimy, Hamid Naboureh, Amin Nazari, Mohsen Eslami Mahdavi, Sahel Moghaddam, Sayyed Hamed Alizadeh Asiyabi, Reza Mohammadi Ahmadi, Seyed Ali Mehravar, Soroosh Mohseni, Farzane Jin, Shuanggen Ocean remote sensing techniques and applications: a review (Part I) |
topic_facet |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Remote sensing Sea level Ocean waves Ocean Ocean wind Ocean current Ocean wave Ocean tide Ship detection Teledetecció Nivell del mar Onades |
description |
Oceans cover over 70% of the Earth’s surface and provide numerous services to humans and the environment. Therefore, it is crucial to monitor these valuable assets using advanced technologies. In this regard, Remote Sensing (RS) provides a great opportunity to study different oceanographic parameters using archived consistent multitemporal datasets in a cost-efficient approach. So far, various types of RS techniques have been developed and utilized for different oceanographic appli- cations. In this study, 15 applications of RS in the ocean using different RS techniques and systems are comprehensively reviewed and discussed. This study is divided into two parts to supply more detailed information about each application. The first part briefly discusses 12 different RS systems that are often employed for ocean studies. Then, six applications of these systems in the ocean, including Ocean Surface Wind (OSW), Ocean Surface Current (OSC), Ocean Wave Height (OWH), Sea Level (SL), Ocean Tide (OT), and Ship Detection (SD), are provided. For each application, the applicable RS systems, their advantages and disadvantages, various RS and Machine Learning (ML) techniques, and several case studies are discussed. The other nine applications, including Iceberg, Sea Ice (SI), Sea Surface temperature (SST), Ocean Surface Salinity (OSS), Ocean Color (OC), Ocean Chlorophyll (OCh), Ocean Oil Spill (OOS), Underwater Ocean, and Fishery, are provided in Part II of this study. Peer Reviewed Postprint (published version) |
author2 |
Universitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials |
format |
Article in Journal/Newspaper |
author |
Amani, Meisam Moghimi, Armin Mirmazloumi, Seyedmohammad Ranjgar, Babak Ghorbanian, Arsalan Ojaghi, Saeid Ebrahimy, Hamid Naboureh, Amin Nazari, Mohsen Eslami Mahdavi, Sahel Moghaddam, Sayyed Hamed Alizadeh Asiyabi, Reza Mohammadi Ahmadi, Seyed Ali Mehravar, Soroosh Mohseni, Farzane Jin, Shuanggen |
author_facet |
Amani, Meisam Moghimi, Armin Mirmazloumi, Seyedmohammad Ranjgar, Babak Ghorbanian, Arsalan Ojaghi, Saeid Ebrahimy, Hamid Naboureh, Amin Nazari, Mohsen Eslami Mahdavi, Sahel Moghaddam, Sayyed Hamed Alizadeh Asiyabi, Reza Mohammadi Ahmadi, Seyed Ali Mehravar, Soroosh Mohseni, Farzane Jin, Shuanggen |
author_sort |
Amani, Meisam |
title |
Ocean remote sensing techniques and applications: a review (Part I) |
title_short |
Ocean remote sensing techniques and applications: a review (Part I) |
title_full |
Ocean remote sensing techniques and applications: a review (Part I) |
title_fullStr |
Ocean remote sensing techniques and applications: a review (Part I) |
title_full_unstemmed |
Ocean remote sensing techniques and applications: a review (Part I) |
title_sort |
ocean remote sensing techniques and applications: a review (part i) |
publisher |
Multidisciplinary Digital Publishing Institute (MDPI) |
publishDate |
2022 |
url |
http://hdl.handle.net/2117/391125 https://doi.org/10.3390/w14213400 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://www.mdpi.com/2073-4441/14/21/3400 Amani, M. [et al.]. Ocean remote sensing techniques and applications: a review (Part I). "Water (Basel)", 26 Octubre 2022, vol. 14, núm. 21, article 3400. 2073-4441 http://hdl.handle.net/2117/391125 doi:10.3390/w14213400 |
op_rights |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Open Access |
op_doi |
https://doi.org/10.3390/w14213400 |
container_title |
Water |
container_volume |
14 |
container_issue |
21 |
container_start_page |
3400 |
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1774298631308836864 |