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

Bibliographic Details
Parent link:Proceedings of SPIE
Vol. 10001 : Remote Sensing of Clouds and the Atmosphere XXI.— 2016.— [1000113, 6 p.]
Corporate Authors: 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)
Other Authors: 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
Summary: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.
Language:English
Published: 2016
Series:Poster Session
Subjects:
Online Access:http://earchive.tpu.ru/handle/11683/37417
http://dx.doi.org/10.1117/12.2241853
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653165