Skip all navigation and jump to content Jump to site navigation
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
ABOUT MODIS
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link
 

 

 

Biswajeet, P, Hamid, A (2010). Forest Fire Detection and Monitoring using High Temporal MODIS and NOAA AVHRR Satellite Images in Peninsular Malaysia. DISASTER ADVANCES, 3(2), 18-23.

Abstract
Forest fires cause significant economic damages and hazard to environment all over the world. Apart from preventive measures, early warning and fast extinction of fires are the only chance to avoid major casualties and damage to nature. This paper describes methodology based on remote sensing and GIS for provision of various early warning of forest fire (so called hot spots) danger conditions for regulatory authorities to take actions for mitigation. Hot spot locations were identified through an automated procedure from high temporal satellite images such as MODIS and NOAA AVHRR scenes. Combination of the Daily Hotspot Images coupled with various GIS layers was used to generate Active Forest Fire Map for the study area. Results from the model can support detection and monitoring for wild fires in the forest and enhance alert system function by simulating and visualizing forest fire and helps for contingency planning.

DOI:

ISSN:
0974-262X

NASA Home Page Goddard Space Flight Center Home Page