@article {Karabashev:2006:0143-1161:1775,
title = "Normalized radiance spectrum as a water exchange event diagnostic",
journal = "International Journal of Remote Sensing",
parent_itemid = "infobike://tandf/tres",
publishercode ="tandf",
year = "2006",
volume = "27",
number = "9",
publication date ="2006-05-01T00:00:00",
pages = "1775-1792",
itemtype = "ARTICLE",
issn = "0143-1161",
eissn = "1366-5901",
url = "https://www.ingentaconnect.com/content/tandf/tres/2006/00000027/00000009/art00004",
doi = "doi:10.1080/01431160500380505",
author = "Karabashev, G. S. and Evdoshenko, M. A. and Sheberstov, S. V.",
abstract = "This work demonstrates the potential for use of a fullspectrum approach (FSA) to diagnostics of coastal/deep basin water exchange from distributions of normalized spectral radiance in shelf zone and inland seas. A radiance spectrum carries information on natural tracers in sea water remotely sensed by ocean colour scanners (e.g. SeaWiFS). The FSA implementation involves mapping of typical spectra found from partitional clustering of pixels' attributes in the SeaWiFS imagery. Easily recognizable vortex dipoles and surrounding areas served for testing the FSA. Time series of these maps, or spectralcluster (SC) images, revealed transfer of subsurface shelf waters over the western Black Sea. A dipoleinherent upwelling was identified from SC images for the eastern Black Sea. Typical spectra exhibited close coupling with local conditions and the ability to indicate both gross structure and fine structure of exchange patterns characteristic of coastal and shelf areas. The merits of the FSA and SC images are discussed in the context of data mining for studying the water exchange.",
}