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Mapping of vegetation cover using Sentinel-2 to estimate forest fire danger
Author(s): Elena P. Yankovich; Ksenia S. Yankovich; Nikolay V. Baranovskiy; Alexander V. Bazarov; Roman S. Sychev; Nimazhap B. Badmaev
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Paper Abstract

Vegetation maps play a key role in an estimation of forest fire danger. To estimate forest fire danger, a vegetation type map of Gilbirinsky forestry situated in the Lake Baikal basin was created on basis of both the remote sensing data and field study. A Sentinel-2A satellite image was classified by the maximum likelihood method. Zones with different levels of forest fire danger have been identified: coniferous forests–extremely dangerous level, mixed forests – high level, and deciduous forests–moderate level of forest fire danger. Normalized Difference Water Index has been calculated and moisture content in vegetation has been evaluated.

Paper Details

Date Published: 9 October 2019
PDF: 6 pages
Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 1115216 (9 October 2019); doi: 10.1117/12.2532509
Show Author Affiliations
Elena P. Yankovich, National Research Tomsk Polytechnic Univ. (Russian Federation)
Ksenia S. Yankovich, Univ. of Paris 7 (France)
Nikolay V. Baranovskiy, National Research Tomsk Polytechnic Univ. (Russian Federation)
Alexander V. Bazarov, Institute of Physical Material Sciences (Russian Federation)
Roman S. Sychev, Institute of Physical Material Sciences (Russian Federation)
Burytian Branch, Roslesinforg (Russian Federation)
Nimazhap B. Badmaev, Institute of General and Experimental Biology (Russian Federation)


Published in SPIE Proceedings Vol. 11152:
Remote Sensing of Clouds and the Atmosphere XXIV
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer; Richard H. Picard; Konradin Weber; Upendra N. Singh, Editor(s)

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