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Спутниковый мониторинг состояния посевов зерновых культур с использованием индекса вегетации

Спутниковый мониторинг состояния посевов зерновых культур с использованием индекса вегетации

Abstract

В связи с изменениями, происходящими в системе землепользования, актуальным вопросом является контроль использования земель сельскохозяйственного назначения. Получение достоверной информации о состоянии сельскохозяйственных земель на обширных территориях стало возможным благодаря использованию дистанционных методов наблюдений. В статье представлены результаты выполненных Сибирским центром ФГБУ «НИЦ "Планета"» работ по оценке состояния посевов зерновых культур с использованием спутниковых данных.

The control of agricultural lands’ use is a topical issue due to the changes in the land management system. The obtaining of reliable information for the vast territories about the agricultural lands’ state is possible through the use of observation methods are based on remote sensing. The article presents the results of completed experiments of satellite data use for grain crops’ assessment at Siberian Center FGBU «SRC" Planet"».

Keywords

ДИСТАНЦИОННОЕ ЗОНДИРОВАНИЕ, МОНИТОРИНГ СОСТОЯНИЯ СЕЛЬСКОХОЗЯЙСТВЕННЫХ КУЛЬТУР, ВЕГЕТАЦИОННЫЙ ИНДЕКС

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green