Forest cover classification and geoinformation modeling of forest regeneration dynamics (Based on the example of the southern part of near-Yenisei Siberia)

An automated conjugate classification of forest growing conditions and forest vegetation has been developed based on the example of the southern part of Yenisei Siberia; maps of potential forest growing conditions and forest-cover regeneration dynamics have been constructed on the basis of the autom...

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Bibliographic Details
Published in:Contemporary problems of ecology 2016-11, Vol.9 (6), p.692-701
Main Authors: Ryzhkova, V. A., Danilova, I. V., Korets, M. A.
Format: Article
Language:English
Subjects:
Biomedical and Life Sciences
Classification
Ecology
Forests
Geographic information systems
Life Sciences
Remote sensing
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Summary:An automated conjugate classification of forest growing conditions and forest vegetation has been developed based on the example of the southern part of Yenisei Siberia; maps of potential forest growing conditions and forest-cover regeneration dynamics have been constructed on the basis of the automated recognition of remote sensing data and a system of conjugate analysis of dissimilar data in GIS. The proposed approach makes it possible to promptly create and update forest cover maps, which is particularly important for the vast taiga regions of Siberia.
ISSN:1995-4255
1995-4263
DOI:10.1134/S1995425516060111