Paper
29 November 2016 Study of forest fires seasonal dynamics in Yakutia on remote sensing data
Oleg A Tomshin, Vladimir S. Solovyev
Author Affiliations +
Proceedings Volume 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 100355E (2016) https://doi.org/10.1117/12.2247763
Event: XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2016, Tomsk, Russian Federation
Abstract
Forest fires dynamic in boreal forests of Yakutia (Eastern Siberia) and its relations with short-term weather history and atmospheric aerosol unhomogeneties and CO perturbations during May-September 2001-2014 were studied on remote sensing data. It is clarified, that temperature anomalies in May-June (comparing to long-term mean) preceded to occurrence of large-scale forest fires. Significant growth of aerosol optical depth (AOD) and aerosol index (AI) is observed during maximum (July-August) of seasonal variations of forest fires. Total emissions of CO2, CO, CH4 were calculated.
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Oleg A Tomshin and Vladimir S. Solovyev "Study of forest fires seasonal dynamics in Yakutia on remote sensing data", Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100355E (29 November 2016); https://doi.org/10.1117/12.2247763
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KEYWORDS
Aerosols

Artificial intelligence

Atmospheric particles

Carbon monoxide

Remote sensing

Carbon dioxide

Combustion

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