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2024 Journal Impact Factor - 0.6
2024 CiteScore - 1.9
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Hybrid Method for Cloud Detection Using Sentinel-2 Imagery and Spectral Indices
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: Satellite imagery constitutes an extremely valuable source of information about the natural environment and the processes occurring on the Earth's surface. However, the availability of useful optical imagery is often significantly limited by atmospheric factors, most notably the presence of clouds. Cloud cover can completely hinder the interpretation of satellite images or lead to erroneous analysis results if not properly identified and filtered out. Moreover, not all clouds are easily detectable—thin cirrus clouds located above water bodies often remain unnoticed in basic RGB visualizations. This article aims to develop and validate an effective method for cloud identification using selected spectral bands and remote sensing indices, which was further tested on the coastal waters of Poland.
KEYWORDS: Safety of Navigation, Geographic Information System (GIS), Maritime Safety, Decision Support System (DSS), Methods and Algorithms, Remote Sensing Method, Machine Learning, Coastal Monitoring
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Citation note:
Specht O.: Hybrid Method for Cloud Detection Using Sentinel-2 Imagery and Spectral Indices. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 20, No. 2, doi:10.12716/1001.20.02.11, pp. 365-371, 2026
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