Remote sensing of forest belt flooded areas
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Keywords

belt forest
forest pathology
flooding of forests
forest degradation
remote sensing
processing of remote sensing data
Novichikhinskiy forestry
Altai Krai

How to Cite

Dolgacheva, L., & Rotanova, I. (2019). Remote sensing of forest belt flooded areas. Acta Biologica Sibirica, 5(4), 83-88. https://doi.org/10.14258/abs.v5.i4.7066

Abstract

The article deals with the application of remote sensing data in the study of flooding of forests on the example of band boron in Novichikhinsky forestry of the Altai Krai. The results of research are presented, in particular, using the method of object-oriented classification of space images of the earth's surface, which combines the possibility of clustering, qualitatively distinguishes connected objects in the image, and classification with training, which allows to refer the selected objects to pre-defined classes. According to remote sensing data, the areas of flooding and the forest pathology state of the Barnaul belt forest were estimated.

https://doi.org/10.14258/abs.v5.i4.7066
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References

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Rotanova IN, Koshkarev AV, Medvedev AA. 2014. Use of remote sensing data for digital terrain modelling as part of the regional infrastructure of spatial data. Computational technologies 19(3): 38-47.

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