Ocean Remote Sensing Techniques and Applications

A Review (Part I)

verfasst von

Meisam Amani, Armin Moghimi, S. Mohammad Mirmazloumi, Babak Ranjgar, Arsalan Ghorbanian, Saeid Ojaghi, Hamid Ebrahimy, Amin Naboureh, Mohsen Eslami Nazari, Sahel Mahdavi, Sayyed Hamed Alizadeh Moghaddam, Reza Mohammadi Asiyabi, Seyed Ali Ahmadi, Soroosh Mehravar, Farzane Mohseni, Shuanggen Jin

Abstract

Oceans cover over 70% of the Earth’s surface and provide numerous services to humans and the environment. Therefore, it is crucial to monitor these valuable assets using advanced technologies. In this regard, Remote Sensing (RS) provides a great opportunity to study different oceanographic parameters using archived consistent multitemporal datasets in a cost-efficient approach. So far, various types of RS techniques have been developed and utilized for different oceanographic applications. In this study, 15 applications of RS in the ocean using different RS techniques and systems are comprehensively reviewed and discussed. This study is divided into two parts to supply more detailed information about each application. The first part briefly discusses 12 different RS systems that are often employed for ocean studies. Then, six applications of these systems in the ocean, including Ocean Surface Wind (OSW), Ocean Surface Current (OSC), Ocean Wave Height (OWH), Sea Level (SL), Ocean Tide (OT), and Ship Detection (SD), are provided. For each application, the applicable RS systems, their advantages and disadvantages, various RS and Machine Learning (ML) techniques, and several case studies are discussed. The other nine applications, 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 provided in Part II of this study.

Externe Organisation(en)

WSP
K.N. Toosi University of Technology
CTTC - Catalan Telecommunications Technology Centre
Universite de Sherbrooke
Shahid Beheshti University
Institute of Mountain Hazards and Environment Chinese Academy of Sciences
Memorial University of Newfoundland
Queen's University Kingston
University Politehnica of Bucharest
University of Tehran
Henan Polytechnic
Shanghai Astronomical Observatory Chinese Academy of Sciences

Typ

Übersichtsarbeit

Journal

Water (Switzerland)

Band

14

ISSN

2073-4441

Publikationsdatum

11.2022

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Geografie, Planung und Entwicklung, Biochemie, Aquatische Wissenschaften, Gewässerkunde und -technologie

Ziele für nachhaltige Entwicklung

SDG 14 – Lebensraum Wasser

Elektronische Version(en)

https://doi.org/10.3390/w14213400 (Zugang: Offen)