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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationRemote Sensing of Clouds and the Atmosphere XXI
PublisherSPIE
Volume10001
ISBN (Electronic)9781510604063
DOIs
Publication statusPublished - 2016
EventRemote Sensing of Clouds and the Atmosphere XXI - Edinburgh, United Kingdom
Duration: 28 Sep 201629 Sep 2016

Conference

ConferenceRemote Sensing of Clouds and the Atmosphere XXI
CountryUnited Kingdom
CityEdinburgh
Period28.9.1629.9.16

Keywords

  • forest fire danger
  • GIS
  • lightning activity
  • prediction
  • remote sensing
  • WWLLN

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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