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

G.P. Anshakov, Y.N. Zhuravel, A.V. Raschupkin

 

Samara Scientific Center of the Russian Academy of Sciences,
JSC «RSC Progress», Samara

 

DOI: 10.18287/0134-2452-2015-39-2-224-233

Full text of article: Russian language.

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.

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