Ocean Remote Sensing Techniques and Applications: A Review (Part II)

• Published in: Water
• Main Authors: Meisam Amani, Soroosh Mehravar, Reza Mohammadi Asiyabi, Armin Moghimi, Arsalan Ghorbanian, Seyed Ali Ahmadi, Hamid Ebrahimy, Sayyed Hamed Alizadeh Moghaddam, Amin Naboureh, Babak Ranjgar, Farzane Mohseni, Mohsen Eslami Nazari, Sahel Mahdavi, S. Mohammad Mirmazloumi, Saeid Ojaghi, Shuanggen Jin
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: remote sensing; sea surface temperature; ocean salinity; ocean color; ocean chlorophyll; ocean oil spill; Hydraulic engineering; TC1-978; Water supply for domestic and industrial purposes; TD201-500; Sea ice
• Online Access: https://doi.org/10.3390/w14213401; https://doaj.org/article/0707b5035a2444bf874741d8ddec80f6

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.