MOP.P25.5

OIL SPILL DETECTION TECHNIQUE WITH AUTOMATIC UPDATING USING DEEP LEARNING AND OIL SPILL INDEX

Dae-Woon Shin, Korea Institute of Ocean Science & Technology, Korea Maritime & Ocean University, South Korea; Chan-Su Yang, Korea Institute of Ocean Science & Technology, Korea Maritime & Ocean University, University of Science & Technology, South Korea; Won-Jun Choi, Korea Institute of Ocean Science & Technology, Korea Maritime & Ocean University, South Korea
Session:
MOP.P25: Ocean Biology and Water Quality II Poster
Track:
Oceans
Location:
Poster Area 25
Presentation Time:
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Co-Chairs:
Xiaofeng Yang, Aerospace Information Research Institute, Chinese Academy of Sciences and Naoto Ebuchi, Hokkaido University
Session Managers:
Al Adil Al Hinai and Ivan Arias and Shubham Awasthi and Ayoti Banerjee
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Session MOP.P25
MOP.P25.1: A Hybrid Machine Learning Model to Estimate Chlorophyll-a in Clear and Coastal Waters
Surya Prakash Tiwari, Syed Masiur Rahman, Rommel Hilot Maneja, Omer Rahman Reshi, Fahad Saleh Mohammed Al-ismail, King Fahd University of Petroleum and Minerals, Saudi Arabia
MOP.P25.2: ASSESSMENT OF THE LONG-TERM DYNAMICS OF ALGAL BLOOMS AND THEIR LINKAGES WITH OCEANOGRAPHIC PARAMETERS USING TIME-SERIES REMOTE SENSING DATA
PUNYA P, Rama Rao Nidamanuri, Indian Institute of Space science and Technology, India
MOP.P25.3: VALIDATION OF GOCI-II RRS PRODUCT USING ABOVE- AND IN-WATER RADIOMETRY MEASUREMENTS
Jee-Eun Min, Rincheon Jeon, Underwater Survey Technology 21, South Korea
MOP.P25.5: OIL SPILL DETECTION TECHNIQUE WITH AUTOMATIC UPDATING USING DEEP LEARNING AND OIL SPILL INDEX
Dae-Woon Shin, Korea Institute of Ocean Science & Technology, Korea Maritime & Ocean University, South Korea; Chan-Su Yang, Korea Institute of Ocean Science & Technology, Korea Maritime & Ocean University, University of Science & Technology, South Korea; Won-Jun Choi, Korea Institute of Ocean Science & Technology, Korea Maritime & Ocean University, South Korea
MOP.P25.6: Seasonal influence of freshwater discharge on primary productivity and euphotic depth in the northern Bay of Bengal
hafez ahmad, Mississippi State University, Mississippi, USA, United States; Felix Jose, Florida Gulf Coast University, United States
MOP.P25.7: DATA-DRIVEN RECONSTRUCTION OF SEA SURFACE TURBIDITY DYNAMICS WITH 4DVARNET NEURAL SCHEME APPLIED TO GAPPY SATELLITE IMAGES
Clément DORFFER, IMT-Atlantique, France; Frédéric Jourdin, Service Hydrographique et Océanographique de la Marine (Shom), France; David Mouillot, Université de Montpellier, France; Rodolphe Devillers, Espace-Dev (IRD-UM-UG-UR-UA-UNC), France; Ronan Fablet, Quentin Febvre, IMT-Atlantique, France
MOP.P25.8: Atmospheric Correction of Landsat 8 Operational Land Imager (OLI), Sentinel-2 MultiSpectral Imager (MSI) over Asian, European and U.S Inland and Coastal waters
Muhammad Asim, Arctic University of Norway (UiT), Tromsø, Norway, Norway; Sidrah Hafeez, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China, Hong Kong SAR China; Atsushi Matsuoka, University of New Hampshire, USA, U.S. Outlying Islands; Man Sing Wong, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China, Hong Kong SAR China; Sawaid Abbas, University of the Punjab, Lahore 54590, Pakistan, Pakistan; Torbjorn Eltoft, Katalin Blix, Arctic University of Norway (UiT), Tromsø, Norway, Norway
MOP.P25.9: Robustness Evaluation of Machine Learning Methods for Remote Sensing of Optically Complex Waters
Katalin Blix, UiT The Arctic University of Norway, Norway
MOP.P25.10: LIGHTWEIGHT UAV PAYLOAD FOR IMAGE SPECTROSCOPY AND ATMOSPHERIC IRRADIANCE MEASUREMENTS
Oliver Hasler, Norwegian University of Science and Technology (NTNU), Norway; Adrian Winter, NTNU, Norway; Dennis Langer, Norwegian University of Science and Technology (NTNU), Norway; Torleiv H. Bryne, NTNU, Norway; Tor Arne Johansen, Norwegian University of Science and Technology (NTNU), Norway
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