Using multi- and hyperspectral remote sensing data for automated river and reservoir monitoring during spring
Автор: Anshakov Gennady Petrovich, Zhuravel Yuliya Nikolaevna, Rashchupkin Anatolii Vladimirovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Получение и анализ гиперспектральных данных
Статья в выпуске: 2 т.39, 2015 года.
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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.
Remote sensing data, hyperspectral data, multispectral data, ice optical properties, index image
Короткий адрес: https://sciup.org/14059352
IDR: 14059352