| Autor: |
Zakharov Moisey, Cherosov Mikhail, Troeva Elena, Gadal Sebastien |
| Jazyk: |
English<br />French |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
BIO Web of Conferences, Vol 38, p 00142 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2117-4458 |
| DOI: |
10.1051/bioconf/20213800142 |
| Popis: |
For the first time, the geoinformation modelling and machine learning approaches have been used to study the vegetation cover of the mountainous part of North-Eastern Siberia – the Orulgan medium-altitude mountain landscape province. These technologies allowed us to distinguish a number of mapping units that were used for creation and analysis of 1:100 000 scale vegetation map of the interpreted key area. Based on the studies, we decided upon the basic principles, approaches and technologies that would serve as a methodology basis for the further studies of vegetation cover of the large region. Relief, slope aspect, genetic types of sediments, and moisture conditions were selected as supplementary factors to the vegetative indices for differentiation of both plant communities and vegetation map units. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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