Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 3400 |
| Fachzeitschrift | Water (Switzerland) |
| Jahrgang | 14 |
| Ausgabenummer | 21 |
| Publikationsstatus | Veröffentlicht - Nov. 2022 |
| Extern publiziert | Ja |
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.
ASJC Scopus Sachgebiete
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
- Biochemie, Genetik und Molekularbiologie (insg.)
- Biochemie
- Agrar- und Biowissenschaften (insg.)
- Aquatische Wissenschaften
- Umweltwissenschaften (insg.)
- Gewässerkunde und -technologie
Ziele für nachhaltige Entwicklung
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: Water (Switzerland), Jahrgang 14, Nr. 21, 3400, 11.2022.
Publikation: Beitrag in Fachzeitschrift › Übersichtsarbeit › Forschung › Peer-Review
}
TY - JOUR
T1 - Ocean Remote Sensing Techniques and Applications
T2 - A Review (Part I)
AU - Amani, Meisam
AU - Moghimi, Armin
AU - Mirmazloumi, S. Mohammad
AU - Ranjgar, Babak
AU - Ghorbanian, Arsalan
AU - Ojaghi, Saeid
AU - Ebrahimy, Hamid
AU - Naboureh, Amin
AU - Nazari, Mohsen Eslami
AU - Mahdavi, Sahel
AU - Moghaddam, Sayyed Hamed Alizadeh
AU - Asiyabi, Reza Mohammadi
AU - Ahmadi, Seyed Ali
AU - Mehravar, Soroosh
AU - Mohseni, Farzane
AU - Jin, Shuanggen
N1 - Publisher Copyright: © 2022 by the authors.
PY - 2022/11
Y1 - 2022/11
N2 - 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.
AB - 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.
KW - ocean
KW - ocean current
KW - ocean tide
KW - ocean wave
KW - ocean wind
KW - remote sensing
KW - sea level
KW - ship detection
UR - http://www.scopus.com/inward/record.url?scp=85141866164&partnerID=8YFLogxK
U2 - 10.3390/w14213400
DO - 10.3390/w14213400
M3 - Review article
AN - SCOPUS:85141866164
VL - 14
JO - Water (Switzerland)
JF - Water (Switzerland)
SN - 2073-4441
IS - 21
M1 - 3400
ER -