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Computer Optics, 2015, Volume 39, Issue 2, Pages 224–233
DOI: https://doi.org/10.18287/0134-2452-2015-39-2-224-233 (Mi co79) 		 
This article is cited in 3 scientific papers (total in 3 papers)

PREPERATION AND ANALISIS OF HYPERSPECTRAL DATA

Using multi- and hyperspectral remote sensing data for automated river and reservoir monitoring during spring

G. Anshakovab, Yu. N. Zhuravelab, A. V. Raschupkinab

a Samara Scientific Center of the Russian Academy of Sciences
b JSC «RSC Progress», Samara
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DOI: https://doi.org/10.18287/0134-2452-2015-39-2-224-233
Abstract: Remote sensing data is a modern tool for efficient reception of data relating to potential natural disasters. This article looks into the feasibility of using the Resurs-P-1 satellite hyperspectral images to evaluate the ice conditions on the Volga river and lakes of the Samara region, as well as monitoring river and reservoir ecological conditions during spring.
Keywords: remote sensing data, hyperspectral data, multispectral data, ice optical properties, index image.
Funding agency Grant number
Russian Foundation for Basic Research 13-01-12014-офи_м
The work was supported by grant RFBR "OFI M" № 13-01-12014.
Received: 27.01.2015
Revised: 03.04.2015
Document Type: Article
Language: Russian
Citation: G. Anshakov, Yu. N. Zhuravel, A. V. Raschupkin, “Using multi- and hyperspectral remote sensing data for automated river and reservoir monitoring during spring”, Computer Optics, 39:2 (2015), 224–233
Citation in format AMSBIB
\Bibitem{AnsZhuRas15}
\by G.~Anshakov, Yu.~N.~Zhuravel, A.~V.~Raschupkin
\paper Using multi- and hyperspectral remote sensing data for automated river and reservoir monitoring during spring
\jour Computer Optics
\yr 2015
\vol 39
\issue 2
\pages 224--233
\mathnet{http://mi.mathnet.ru/co79}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-2-224-233}
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    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Computer Optics
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