Improved method for detecting and evaluating the conditions of forest and grassland fire using meteorological and environment satellite

Abstract

Meteorological satellite are widely used to monitor forest and grassland fire in China and other developing countries in recent years as its AVHRR sensor with middle infrared channel are very sensitive to hot spot. However, some new issues recently in this application need be considered: the forest department want more information from satellite remote sensing, like the condition of a fire, not only location of fire spot; from NOAA-K, the mid-infrared channel (3.7µm) closed at daytime, that give much difficulty to detect forest fire by using meteorological satellite; EOS/MODIS sensor has more channel and higher resolution in ground surface monitoring. This paper introduces some improved method for detecting and evaluating the conditions of forest and grassland fire by using multiple channel data from meteorological and environment satellite data, These methods includes: a, Evaluating the sub-pixel size and temperature of fire spot by using multiple channel data of AVHRR in polar meteorological satellite in various condition, including. The way of multiple channel combination are: mid- infrared (3.7µm) and thermal infrared (11µm) channel; near infrared (1.6µm) and thermal infrared (11µm) channel; two long infrared (11µm and 12µm) channel. And also introduce the means of presentation for evaluation result. b. Detecting the hot spot in the condition without mid- infrared channel data, includes: using two thermal infrared (11µm and 12µm)channel data from AVHRR; using near infrared (1.6µm) and thermal infrared (11µm) channel data from AVHRR. c. Some features in fire monitoring by using multiple channel data of EOS/MODIS.