NDLI: An Agent-Based Approach for Regional Forest Fire Detection Using MODIS Data: A Preliminary Study in Iran

Content Provider	Springer Nature Link
Author	Movaghati, S. Samadzadegan, F. Azizi, A.
Copyright Year	2012
Abstract	Detecting fires, which are at their early stages is the first component of effective fire fighting. To date, several algorithms have been proposed to detect fire spots using remote sensing data. Nevertheless, in order to be able to accurately detect small and cool fires, which are very important at the regional scale, most of these algorithms need to be adjusted and improved. In this paper, an agent-based algorithm is presented for regional forest fire detection using bi-temporal MODIS data. The algorithm is designed to be so self-adaptive and consistent that it could be applied to the different pairs of consecutive images taken by the same satellite platform and at the same daytime. The results clearly show that compared with the MODIS contextual algorithm (version 4), the proposed method is more sensitive to small and cool forest fires in Iran.
Starting Page	21
Ending Page	33
Page Count	13
File Format	PDF
ISSN	0255660X
Journal	Journal of the Indian Society of Remote Sensing
Volume Number	41
Issue Number	1
e-ISSN	09743006
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-03-20
Publisher Place	India
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Remote sensing Forest fire detection Small and cool fires MODIS imagery Agent-based approach Earth Sciences Remote Sensing/Photogrammetry
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Geography, Planning and Development

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