Mapping of vegetation cover using Sentinel-2 to estimate forest fire danger

Elena P. Yankovich; Ksenia S. Yankovich; Nikolay V. Baranovskiy; Alexander V. Bazarov; Roman S. Sychev; Nimazhap B. Badmaev

doi:10.1117/12.2532509

9 October 2019 Mapping of vegetation cover using Sentinel-2 to estimate forest fire danger

Elena P. Yankovich, Ksenia S. Yankovich, Nikolay V. Baranovskiy, Alexander V. Bazarov, Roman S. Sychev, Nimazhap B. Badmaev

Author Affiliations +

Proceedings Volume 11152, Remote Sensing of Clouds and the Atmosphere XXIV; 1115216 (2019) https://doi.org/10.1117/12.2532509
Event: SPIE Remote Sensing, 2019, Strasbourg, France

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.

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Elena P. Yankovich, Ksenia S. Yankovich, Nikolay V. Baranovskiy, Alexander V. Bazarov, Roman S. Sychev, and Nimazhap B. Badmaev "Mapping of vegetation cover using Sentinel-2 to estimate forest fire danger", Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 1115216 (9 October 2019); https://doi.org/10.1117/12.2532509

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