Ocean Remote Sensing Techniques and Applications: A Review (Part II)
Creators
- 1. Wood PLC
- 2. University of Tehran
- 3. Polytechnic University of Bucharest
- 4. Leibniz Universität Hannover
- 5. K. N. Toosi University of Technology
- 6. Toosi University of Technology
- 7. Shahid Beheshti University
- 8. Queen's University
- 9. Institute of Mountain Hazards and Environment
- 10. Memorial University of Newfoundland
- 11. WSP Environment and Infrastructure Canada Limited
- 12. Centro Tecnológico de Telecomunicaciones de Cataluña (CTTC)
- 13. University of Sherbrooke
- 14. Chinese Academy of Sciences
Description
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. © 2022 by the authors.
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water-14-03401-v2.pdf
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