Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2009 | Volume: 9 | Issue: 20 | Page No.: 3672-3681
DOI: 10.3923/jas.2009.3672.3681
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

An Agent-Based Approach for Regional Forest Fire Detection using MODIS Data

S. Movaghati, F. Samadzadegan and A. Azizi

Abstract:
In this study, we propose an agent-based approach for adaptive regional forest fire detection using MODIS data. It utilizes the tests used in MODIS version 4 contextual fire detection algorithm to determine agent behavioral responses. To do so, initially, a collection of autonomous agents will be distributed at a number of pixels in the considered image with high potential of being a fire pixel. These pixels are pre-selected based on brightness temperature and NDVI values of a given pixel with respect to those of its surrounding pixels rather than fixed threshold values. Performance of the proposed algorithm was compared with MODIS version 4 contextual fire detection algorithm and ground-based measurements. The results show high potential of the proposed method to be applied for automatic forest fire detection at regional scale.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Impacts of Fire on SouthEast Asia Tropical Forests Biodiversity: A Review
How to cite this article:

S. Movaghati, F. Samadzadegan and A. Azizi, 2009. An Agent-Based Approach for Regional Forest Fire Detection using MODIS Data. Journal of Applied Sciences, 9: 3672-3681.

DOI: 10.3923/jas.2009.3672.3681

URL: https://scialert.net/abstract/?doi=jas.2009.3672.3681

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom