Ocean remote sensing techniques and applications: a review (Part II)

As discussed in the first part of this review paper, Remote Sensing (RS) systems are great tools to study various oceanographic parameters. Part I of this study described different passive and active RS systems and six applications of RS in ocean studies, including Ocean Surface Wind (OSW), Ocean Su...

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Detalles Bibliográficos
Autores: Amani, Meisam, Mehravar, Soroosh, Asiyabi, Reza Mohammadi, Moghimi, Armin, Ghorbanian, Arsalan, Ahmadi, Seyed Ali, Ebrahimy, Hamid, Moghaddam, Sayyed Hamed Alizadeh, Naboureh, Amin, Ranjgar, Babak, Mohseni, Farzane, Nazari, Mohsen Eslami, Mahdavi, Sahel, Mirmazloumi, Seyed Mohammad, Ojaghi, Saeid, Jin, Shuanggen
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/391131
Acceso en línea:https://hdl.handle.net/2117/391131
https://dx.doi.org/10.3390/w14213401
Access Level:acceso abierto
Palabra clave:Remote sensing
Salinitat
Coral reef ecology
Ocean temperature
Sea surface temperature
Ocean salinity
Ocean color
Ocean chlorophyll
Ocean oil spill
Bathymetry
Aquatic vegetation
Coral reef
Fishery
Teledetecció
Ecologia dels esculls coral·lins
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
Salinity
Descripción
Sumario:As discussed in the first part of this review paper, Remote Sensing (RS) systems are great tools to study various oceanographic parameters. Part I of this study described different passive and active RS systems and six applications of RS in ocean studies, including Ocean Surface Wind (OSW), Ocean Surface Current (OSC), Ocean Wave Height (OWH), Sea Level (SL), Ocean Tide (OT), and Ship Detection (SD). In Part II, the remaining nine important applications of RS systems for ocean environments, 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 comprehensively reviewed and discussed. For each application, the applicable RS systems, their advantages and disadvantages, various RS and Machine Learning (ML) techniques, and several case studies are discussed.

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