Program components for web-oriented geoinformation system of forest fire danger prediction

Nikolay V. Baranovskiy, Marina V. Zharikova

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The web-oriented geoinformation system for forest fire danger prediction based on a probabilistic fire danger criteria is described in the paper. The new method of the calculation of the probabilistic fire danger criteria is depicted. А new formula for fire danger assessment for a certain time interval of forest fire season is obtained using the basic principles of the probability theory. A definition of the probability using frequency of events is used to calculate fire danger. The statistical data for certain forestry is used to determine all the multipliers in the formula of fire danger. The geoinformation system for forest fire danger assessment based on the method described here is developed by the Django platform in the programming language Python. The system architecture based on Django’s Model-View-Template is described in the paper. The software package that runs on the server allows to get and visualize a set of parameters describing forest fire danger. The GeoDjango framework was used for realization of cartographic functions. A fragment of a forest fire risk map which corresponds to certain value of fire danger is depicted. The estimation of the fire risk and visualization it on the map help to identify areas most prone to fire ignition and spread and to allocate forest fire fighting resources efficiently.

Original languageEnglish
Pages (from-to)737-744
Number of pages8
JournalInternational Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
Volume1
Issue number2
Publication statusPublished - 2014
Event14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014 - Albena, Bulgaria
Duration: 17 Jun 201426 Jun 2014

Fingerprint

forest fire
Fires
prediction
programme
statistical data
fighting
visualization
forestry
software
Forestry
Software packages
Computer programming languages
resource
Ignition
Servers
Visualization

Keywords

  • Django
  • Fire danger criteria
  • Fire risk
  • Forest fire danger
  • GeoDjango
  • Geoinfomation system
  • Model-View-Template
  • Python

ASJC Scopus subject areas

  • Geology
  • Geotechnical Engineering and Engineering Geology

Cite this

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