WWLLN data cluster analysis methods for lightning-caused forest fires monitoring

Nikolay Baranovskiy, Svetlana Krechetova, Marina Belikova, Anton Perelygin

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Storm activity is the main reason for forest fires to occur in remote forested territories. The current article presents the results for cluster analysis of WWLLN data on lightning discharges. It provides the description for clusterization algorithms of lightning discharges over the controlled territory. Research area is Timiryazevskiy forestry of the Tomsk region (Siberia, Russia). We analyzed the applicability of cluster analysis results for monitoring of the forest fire danger caused by storm activity. As a result of the conducted research, we established that the following characteristics of storm activity can be included in deterministic-probabilistic criterion to assess the forest fire danger. The article gives the recommendations how to create new generation information-computer and geoinformation systems for monitoring of the forest fire danger caused by storm activity in the controlled forested territory.

Original languageEnglish
Pages (from-to)3112-3120
Number of pages9
JournalInternational Journal of Electrical and Computer Engineering
Volume6
Issue number6
DOIs
Publication statusPublished - 2016

Keywords

  • Cluster analysis
  • Forest fire
  • Lightning monitoring
  • Siberia
  • WWLLN data

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'WWLLN data cluster analysis methods for lightning-caused forest fires monitoring'. Together they form a unique fingerprint.

  • Cite this