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

• Published in: Water
• Main Authors: 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, S. Mohammad, Ojaghi, Saeid, Jin, Shuanggen
• Format: Report
• Language: English
• Published: MDPI 2022
• Subjects: remote sensing; sea surface temperature; ocean salinity; ocean color; ocean chlorophyll; ocean oil spill; bathymetry; aquatic vegetation; coral reef; fishery; SEA-SURFACE TEMPERATURE; OIL-SPILL DETECTION; SUBMERGED AQUATIC VEGETATION; SHALLOW-WATER BATHYMETRY; SPECTRAL-RESOLUTION RADIOMETER; AUTOMATIC ICEBERG DETECTION; INHERENT OPTICAL-PROPERTIES; SIDE-SCAN SONAR; C ICE SHELF; NEARSHORE BATHYMETRY; Environmental Sciences & Ecology; Water Resources; Environmental Sciences; Ice Shelf; Sea ice
• Online Access: http://ir.imde.ac.cn/handle/131551/56960; https://doi.org/10.3390/w14213401

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.