Joint processing of RS and WWLLN data for forest fire danger estimation: new concept

Nikolay V. Baranovskiy; Svetlana Yu. Krechetova; Marina Yu. Belikova; Nina A. Kocheeva; Elena P. Yankovich

doi:10.1117/12.2241853

19 October 2016 Joint processing of RS and WWLLN data for forest fire danger estimation: new concept

Nikolay V. Baranovskiy, Svetlana Yu. Krechetova, Marina Yu. Belikova, Nina A. Kocheeva, Elena P. Yankovich

Proceedings Volume 10001, Remote Sensing of Clouds and the Atmosphere XXI; 1000113 (2016) https://doi.org/10.1117/12.2241853
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

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.

Citation Download Citation

Nikolay V. Baranovskiy, Svetlana Yu. Krechetova, Marina Yu. Belikova, Nina A. Kocheeva, and Elena P. Yankovich "Joint processing of RS and WWLLN data for forest fire danger estimation: new concept", Proc. SPIE 10001, Remote Sensing of Clouds and the Atmosphere XXI, 1000113 (19 October 2016); https://doi.org/10.1117/12.2241853

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