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Геоинформационное картографирование современного состояния лесов Забайкальского национального парка по данным дистанционного зондирования Земли

Геоинформационное картографирование современного состояния лесов Забайкальского национального парка по данным дистанционного зондирования Земли

Abstract

В работе рассматриваются возможности использования многозональных снимков высокого разрешения (данные съемочного прибора LISS-4 спутника IRS-P6 и данные съемочного прибора ASTER VNIR со спутника Terra) для крупномасштабного картографирования и оценки современного состояния лесов особо охраняемых природных территорий (на примере Забайкальского национального парка). Для уточнения результатов автоматизированной классификации данных дистанционного зондирования Земли (ДЗЗ) были проведены полевые работы для описания эталонных участков лесной растительности.

This paper is devoted to the application of multispectral space high resolution images (made by the cameras of IRS LISS-4 and ASTER (VNIR)) to large-scale mapping and analysis of the current state of forest cover in the protected areas of the Zabaikalsky National Park as a part of the area near Lake Baikal. For the adjustment of earth remote sensing data automatic classification, the field investigations were conducted (geobotanical description of tested polygons).

Keywords

ГЕОИНФОРМАЦИОННОЕ КАРТОГРАФИРОВАНИЕ, ДАННЫЕ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ, АВТОМАТИЗИРОВАННАЯ КЛАССИФИКАЦИЯ, ИНТЕРПРЕТАЦИЯ

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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
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