BIO Web Conf.
Volume 11, 2018IV(VI)th All-Russia Scientific-Practical Conference “Prospects of Development and Challenges of Modern Botany”
|Number of page(s)||5|
|Published online||21 August 2018|
Forest vegetation assessment using geoinformation tools: a case of the Burla pine forest, Novosibirsk Region, Russia
Central Siberian Botanical Garden, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation
2 Siberian State University of Geosystems and Technologies, Novosibirsk, 630108, Russian Federation
* Corresponding author: email@example.com
The paper presents the vegetation thematic classification of the Burla banded pine forest carried on using "Canopus-V" remote sensing data and the supervised classification technique by a spectral angle mapper. Areas of selected elements have been assessed: 1. Pine forests, 2. Birch forests; 3. Meadows; 4. Anthropogenic objects (roads, etc.); 5. Agricultural lands; 6. Water objects. Sites of anthropogenic disturbed forests are identified according to remote sensing data. The results show that the data obtained in the classification by a spectral angle can be used to compile geobotanical maps, but due to low spectral resolution of Canopus-V satellite data, it is not always possible to classify individual objects validlys.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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