SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

GIS SYSTEM TO PREDICT FOREST FIRES CAUSED BY LIGHTNING ACTIVITY: CONCEPTUAL BASE

Nikolay V. Baranovskiy

First published: 2018-06-20https://doi.org/10.5593/sgem2018/2.3/s11.054View metrics

Abstract

Thunderstorm activity is the main natural cause of forest fires occurrence. Lightning discharges are divided into cloud-to-ground and cloud-to-cloud. The higher the current, the higher the probability of fire in the forest. Geographic information systems are a convenient and multifunctional means of visualization and geospatial data analysis, including the level of forest fire danger. It is necessary to design the structure and information flows in such a GIS system. The development of such a GIS system is carried out for a typical territory of the Tomsk region (Timiryazevskiy forestry). For the territory of the Timiryazevskiy forestry year high in the number of lightning strokes in the WWLLN data is 2015. The smallest number of the lightning discharges observed for the 2010, 2012 and 2013 include implementation of a GIS system using the host systems ArcGIS and QGIS. Both options involve the implementation of their own software tools for the implementation of mathematical models that provide the calculation of the level of forest fire danger in the controlled forest-covered area. For this purpose, it is proposed to use the built-in programming language Python. The General scheme of the GIS system is presented in this paper.

Publication Impact Profile

PlumX
  • Captures
  • Mendeley - Readers: 4
PLUMX see details

Publication details

Title
GIS SYSTEM TO PREDICT FOREST FIRES CAUSED BY LIGHTNING ACTIVITY: CONCEPTUAL BASE
Authors
Nikolay V. Baranovskiy
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2018
Pages
425-432
SWS Citekey
Baranovskiy201811425432
ISSN
1314-2704
ISBN
978-619-7408-41-6
Language
en
Publication type
Conference Paper
Keywords
forest fire dangerforecaststorm activitygeographic information systemWWLLN
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list