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Proceedings Paper

Joint processing of RS and WWLLN data for forest fire danger estimation: new concept
Author(s): Nikolay V. Baranovskiy; Svetlana Yu. Krechetova; Marina Yu. Belikova; Nina A. Kocheeva; Elena P. Yankovich
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Paper Abstract

The present article describes a new concept of lightning-caused forest fire danger using a probabilistic criterion. The assessment of forest fire danger is made on the basis of the algorithm that classifies the forest territory by vegetation conditions. Lightning activity is processed by the MODIS spectroradiometer according to the World Wide Lightning Location Network data and remote sensing data for the Timiryazevskiy forestry in the Tomsk Region. The cluster analysis of the WWLLN and MOD06_L2 product data are used in the present paper.

Paper Details

Date Published: 19 October 2016
PDF: 6 pages
Proc. SPIE 10001, Remote Sensing of Clouds and the Atmosphere XXI, 1000113 (19 October 2016); doi: 10.1117/12.2241853
Show Author Affiliations
Nikolay V. Baranovskiy, Tomsk Polytechnic Univ. (Russian Federation)
Svetlana Yu. Krechetova, Gorno-Altaisk State Univ. (Russian Federation)
Marina Yu. Belikova, Gorno-Altaisk State Univ. (Russian Federation)
Nina A. Kocheeva, Gorno-Altaisk State Univ. (Russian Federation)
Elena P. Yankovich, Tomsk Polytechnic Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 10001:
Remote Sensing of Clouds and the Atmosphere XXI
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer, Editor(s)

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