Paper
14 October 2014 See the Sea: multi-user information system for investigating processes and phenomena in coastal zones via satellite remotely sensed data, particularly hyperspectral data
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Abstract
The functionality, the goals and the current state of the distributed information system “See the Sea” (STS) are presented and discussed. This system is designed for investigating various processes and phenomena in the ocean and marine atmosphere using different types of satellite remotely sensed data. The STS system provides researchers with the possibilities to deal with the satellite remote sensing data as well as with the result of its analysis. The key feature of STS is the ability to work simultaneously with satellite information of different types. STS provides tools for joint analysis of different types of satellite data, as well as data of ground meteorological stations, cartographic data etc. This paper gives an overview of the system and data processing use cases. Some example cases are described including processing and joint analysis of various satellite data. The data from different sensors (obtained by Envisat ASAR, Landsat-8 OLI, Landsat-7 ETM+, Landsat-5 TM, Terra/Aqua MODIS as well as Hyperion and HICO hyperspectral data) was analyzed jointly for differentiation between different types of coastal waters, and for reconstruction of suspended matter distribution in the test areas of the Azov and Black Seas.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marina I. Mityagina, Olga Yu. Lavrova, and Ivan A. Uvarov "See the Sea: multi-user information system for investigating processes and phenomena in coastal zones via satellite remotely sensed data, particularly hyperspectral data", Proc. SPIE 9240, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014, 92401C (14 October 2014); https://doi.org/10.1117/12.2067300
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Cited by 7 scholarly publications.
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KEYWORDS
Satellites

Sensors

Earth observing sensors

Landsat

Water

Remote sensing

Analytical research

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