New Delhi, India, November 11, 2007: Advances in satellite remote sensing have enhance the ability to provide information for near real time detection of forest fires, fire progression, burnt area assessment and inputs from ecological damage assessment. In this context, the Indian Forest Fire Response and Assessment System (INFFRAS) has been established under the Decision Support Center, (DSC), under Disaster Manage Support Programme, to facilitate forest fire management. INFFRAS integrates multi sensor satellite data with Geo Informatics System (GIS) data bases to address forest fire management relevant to pre, during and post fire scenarios.
Short-wave infra red (SWIR) and thermal IR data based temperature anomalies are used for the detection of active fire locations. The MODIS Global Fire Detection Algorithm was implemented and modified to reduce false alarms over India Region and Fire Detection restricted to forest area.
Operational Line Scan System (OLS) has the capability of light intensification through a photo-multiplier tube enabling the observations of faint sources of visible-near emissions present during night. By analyzing a time series of BMSP-OLS images, it is possible to define a reference set of stable lights. Fires are identified as lights detected on the land surface outside the reference set of stable lights. Forest mask is used to restrict fire outputs within forested areas.
INFFRAS website is developed in open source environment with the following capabilities:
Daily day time fire alert is being updated within 3-4 hours of satellite pass and night time fire location is updated by 0500 GMT, the next day in INFFRAS.