Joint processing of RS and WWLLN data for forest fire danger estimation: new concept; Proceedings of SPIE; Vol. 10001 : Remote Sensing of Clouds and the Atmosphere XXI

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

Détails bibliographiques
Parent link:	Proceedings of SPIE Vol. 10001 : Remote Sensing of Clouds and the Atmosphere XXI.— 2016.— [1000113, 6 p.]
Collectivités auteurs:	Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра теоретической и промышленной теплотехники (ТПТ), Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра геологии и разведки полезных ископаемых (ГРПИ)
Autres auteurs:	Baranovskiy N. V. Nikolay Viktorovich, Yankovich E. P. Elena Petrovna, Krechetova S. Yu. Svetlana Yurjevna, Belikova M. Yu. Marina Yurjevna, Kocheeva N. A. Nina Alekseevna
Résumé:	Title screen 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.
Langue:	anglais
Publié:	2016
Collection:	Poster Session
Sujets:	электронный ресурс труды учёных ТПУ лесные пожары опасность дистанционное зондирование прогнозирование грозовая активность
Accès en ligne:	http://earchive.tpu.ru/handle/11683/37417 http://dx.doi.org/10.1117/12.2241853
Format:	Électronique Chapitre de livre
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653165

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