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Sta?a Pu?karic, Mateo Sokac, ?ivana Nincevic, Danijela ?antic, Sanda Skejic, Tomislav D?oic, Heliodor Prelesnik and Knut Yngve Børsheim
In this communication, we present an innovative approach leveraging advanced Machine Learning (ML) and Artificial Intelligence (AI) techniques, specifically the Non-Negative Matrix Factorization (NMF) method, to analyze downward and upward light spectra ...
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Sean McCarthy, Summer Crawford, Christopher Wood, Mark D. Lewis, Jason K. Jolliff, Paul Martinolich, Sherwin Ladner, Adam Lawson and Marcos Montes
Here we present a machine-learning-based method for utilizing traditional ocean-viewing satellites to perform automated atmospheric correction of nanosatellite data. These sensor convolution techniques are required because nanosatellites do not usually p...
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Jason K. Jolliff, Travis A. Smith, Sherwin Ladner, Ewa Jarosz, Mark David Lewis, Stephanie Anderson, Sean McCarthy and Adam Lawson
The southward propagation of cold-air frontal boundaries into the Gulf of Mexico region initiates a cascade of coupled air?sea processes that manifests along the coastlines as an apparent brightness anomaly in the ocean color signals. Our hypothesis is t...
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Elliot Pachniak, Yongzhen Fan, Wei Li and Knut Stamnes
The Ocean Color?Simultaneous Marine and Aerosol Retrieval Tool (OC-SMART) is a robust data processing platform utilizing scientific machine learning (SciML) in conjunction with comprehensive radiative transfer computations to provide accurate remote sens...
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Weijie Li, Changxia Liang, Fan Yang, Bo Ai, Qingtong Shi and Guannan Lv
There are some limitations in traditional ocean scalar field visualization methods, such as inaccurate expression and low efficiency in the three-dimensional digital Earth environment. This paper presents a spherical volume-rendering method based on adap...
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Huichan Kim, Sunho Park and Seong-Yeob Jeong
Growing interest in finding the optimal route through the arctic ocean, and sea ice concentration is also emerging as a factor to be considered. In this paper, an algorithm to calculate the sea ice concentration was developed based on the images taken du...
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Christos Makris, Zisis Mallios, Yannis Androulidakis and Yannis Krestenitis
Storm surges due to severe weather events threaten low-land littoral areas by increasing the risk of seawater inundation of coastal floodplains. In this paper, we present recent developments of a numerical modelling system for coastal inundation induced ...
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Jae Joong Kang, Hyun Ju Oh, Seok-Hyun Youn, Youngmin Park, Euihyun Kim, Hui Tae Joo and Jae Dong Hwang
The size of phytoplankton (a key primary producer in marine ecosystems) is known to influence the contribution of primary productivity and the upper trophic level of the food web. Therefore, it is essential to identify the dominant sizes of phytoplankton...
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Kai Hu, Chenghang Weng, Yanwen Zhang, Junlan Jin and Qingfeng Xia
Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the optical characteristics of water bodies, underwater video images generally have problems such as c...
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Ivan Panic, Aleksandar Cuculic and Jasmin Celic
To reduce pollution from ships in coastal and international navigation, shipping companies are turning to various technological solutions, mostly based on electrification and the use of alternative fuels with a lower carbon footprint. One of the alternat...
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