WEPA.PA.156

GLOBAL DELINEATION OF OPTICALLY SHALLOW AND OPTICALLY DEEP WATER USING MACHINE LEARNING

Galen Richardson, Neve Foreman, Yulun Wu, Anders Knudby, University of Ottawa, Canada
Session:
WEPA.PA: Ocean Biology (Color) and Water Quality I Poster
Track:
Oceans
Location:
Poster Area 1: Muses/Kokali Foyer
Presentation Time:
Wed, 10 Jul, 10:40 - 11:40
Session Chair:
Jie Nie, Ocean University of China
Presentation
Discussion
Resources
No resources available.
Session WEPA.PA
WEPA.PA.155: PROGRESS AND PROSPECT: OCEAN COLOR OBSERVATION SATELLITES IN CHINA
Hongzhi Zhao, Lili Wang, Keli Zhang, DFH Satellite Co., Ltd., China
WEPA.PA.156: GLOBAL DELINEATION OF OPTICALLY SHALLOW AND OPTICALLY DEEP WATER USING MACHINE LEARNING
Galen Richardson, Neve Foreman, Yulun Wu, Anders Knudby, University of Ottawa, Canada
WEPA.PA.157: A K-SHOT SAMPLING BASED DECENTRALIZED LEARNING FRAMEWORK FOR SPATIOTEMPORAL CORRELATED OCEAN DATA WITH ASYNCHRONOUS COMMUNICATION
Xinyue Liang, Nuoqing Zhang, Zijie Zuo, Jie Nie, Ocean University of China, China
WEPA.PA.158: ASSESSMENT OF SUN GLINT CORRECTION METHODS IN UNMANNED AERIAL VEHICLE-BASED OCEAN OPTICAL REMOTE SENSING
Jiangying Qin, Wuhan University, China; Ming Li, Armin Gruen, ETH Zurich, China; Deren Li, Jianya Gong, Wuhan University, China; Xuan Liao, The Hong Kong Polytechnic University, China
WEPA.PA.159: NON-EUCLIDEAN WATER DISTANCE BASED INTERPOLATION FOR INCREASED MAPPING OF COASTAL WATER CLARITY
J. Blake Clark, NASA Goddard Space Flight Center and University of Maryland Baltimore County, United States; Stephanie Schollaert Uz, Troy Ames, NASA Goddard Space Flight Center, United States
Resources
No resources available.