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 environment. Therefore, it is crucial monitor these valuable assets using advanced technologies. In this regard, Remote Sensing (RS) provides a great opportunity study different oceanographic parameters archived consistent multitemporal datasets in cost-efficient approach. So far, various types RS techniques have been developed utilized for applications. study, 15 applications ocean systems are comprehensively reviewed discussed. This divided into two parts supply more detailed information about each application. The first part briefly discusses 12 that often employed studies. Then, six ocean, including Ocean Surface Wind (OSW), Current (OSC), Wave Height (OWH), Sea Level (SL), Tide (OT), Ship Detection (SD), provided. For application, applicable systems, their advantages disadvantages, Machine Learning (ML) techniques, several case studies other nine applications, Iceberg, Ice (SI), temperature (SST), Salinity (OSS), Color (OC), Chlorophyll (OCh), Oil Spill (OOS), Underwater Ocean, Fishery, provided Part II study.