Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/37417
Title: Joint processing of RS and WWLLN data for forest fire danger estimation: new concept
Authors: Baranovskiy, Nikolay Viktorovich
Yankovich, Elena Petrovna
Krechetova, Svetlana Yurjevna
Belikova, Marina Yurjevna
Kocheeva, Nina Alekseevna
Yankovich, Elena Petrovna
Keywords: лесные пожары; опасность; дистанционное зондирование; прогнозирование; грозовая активность; дистанционное зондирование
Issue Date: 2016
Publisher: Томский политехнический университет
Citation: Joint processing of RS and WWLLN data for forest fire danger estimation: new concept / N. V. Baranovskiy [et al.] // Proceedings of SPIE. — 2016. — Vol. 10001 : Remote Sensing of Clouds and the Atmosphere XXI. — [1000113, 6 p.].
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.
URI: http://earchive.tpu.ru/handle/11683/37417
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