Details
| Original language | English |
|---|---|
| Article number | 3401 |
| Journal | Water (Switzerland) |
| Volume | 14 |
| Issue number | 21 |
| Publication status | Published - Nov 2022 |
| Externally published | Yes |
Abstract
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.
Keywords
- aquatic vegetation, bathymetry, coral reef, fishery, ocean chlorophyll, ocean color, ocean oil spill, ocean salinity, remote sensing, sea surface temperature
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
- Biochemistry, Genetics and Molecular Biology(all)
- Biochemistry
- Agricultural and Biological Sciences(all)
- Aquatic Science
- Environmental Science(all)
- Water Science and Technology
Sustainable Development Goals
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In: Water (Switzerland), Vol. 14, No. 21, 3401, 11.2022.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Ocean Remote Sensing Techniques and Applications
T2 - A Review (Part II)
AU - Amani, Meisam
AU - Mehravar, Soroosh
AU - Asiyabi, Reza Mohammadi
AU - Moghimi, Armin
AU - Ghorbanian, Arsalan
AU - Ahmadi, Seyed Ali
AU - Ebrahimy, Hamid
AU - Moghaddam, Sayyed Hamed Alizadeh
AU - Naboureh, Amin
AU - Ranjgar, Babak
AU - Mohseni, Farzane
AU - Nazari, Mohsen Eslami
AU - Mahdavi, Sahel
AU - Mirmazloumi, S. Mohammad
AU - Ojaghi, Saeid
AU - Jin, Shuanggen
N1 - Publisher Copyright: © 2022 by the authors.
PY - 2022/11
Y1 - 2022/11
N2 - 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.
AB - 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.
KW - aquatic vegetation
KW - bathymetry
KW - coral reef
KW - fishery
KW - ocean chlorophyll
KW - ocean color
KW - ocean oil spill
KW - ocean salinity
KW - remote sensing
KW - sea surface temperature
UR - http://www.scopus.com/inward/record.url?scp=85141849458&partnerID=8YFLogxK
U2 - 10.3390/w14213401
DO - 10.3390/w14213401
M3 - Review article
AN - SCOPUS:85141849458
VL - 14
JO - Water (Switzerland)
JF - Water (Switzerland)
SN - 2073-4441
IS - 21
M1 - 3401
ER -