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JOURNALS // Computer Optics // Archive

Computer Optics, 2015 Volume 39, Issue 2, Pages 224–233 (Mi co79)

This article is cited 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

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.

Received: 27.01.2015
Revised: 03.04.2015

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



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