TITLE:
Automatization of Forest Fire Detection Using Geospatial Technique
AUTHORS:
Shaily R. Gandhi, Tarun P. Singh
KEYWORDS:
Geographic Information System, Remote Sensing, Forest Fires, Fire Detection, MODIS, Automated System
JOURNAL NAME:
Open Journal of Forestry,
Vol.4 No.4,
July
11,
2014
ABSTRACT:
Healthy forest is the
vital resource to regulate climate at a regional and global level. Forest fire
has been regarded as one of the major reasons for the loss of forest and
degradation of the environment. Global warming is increasing its intensity at
an alarming rate. Real-time fire detection is a necessity to avoid large scale
losses. Remote sensing is a quick and cheap technique for detecting and
monitoring forest fires on a large scale. Advance Very Radiometer Resolution
(AVHRR) has been used already for a long period for fire detection. The use of
Moderate Resolution Imaging Radio Spectrometer (MODIS) for fire detection has
recently preceded AVHRR and a large number of fire products are being
developed. MODIS based forest fire detection and monitoring system can solve
the problem of real-time forest fire monitoring. The system facilitates data
acquisition, processing, reporting and feedback on the fire location
information in an automated manner. It provides location information at 1 × 1 kilometer resolution on the active fires which are
present during the satellite overpass twice a day. The users are provided with
the information on SMS alert with fire location details, email notification,
and online visualization of fire locations on website automatically. The whole
processes are automated and provide better accuracy for fire detection.