Abstract:

Remotely sensed infrared images are often used to estimate wildfire parameters. MODIS (moderate resolution imaging spectroradiameter) is widely applied to monitor forest wildfire due to its multispectral images and capability of real time acguiring fire data. The traditional mapping methods of burn scar and hotspots depend on its particular radiant and thermal spectral characters. In dynamic fire monitoring process, the fire line detection of the edge of burn scar is more important than burn area estimation. An automatic method for extracting fire line parameters was developed in this paper based on multispectral imagery. The method integrated the fire edge information of multispectral images, and as well as improve spatial details mapping of fire line by multi bands image gradient magnitude calculation. Superimposition of the fire lines on the edge of burn scar at Normal Difference Vegetation Index (NDVI) image produced a coincident result which suggests the algorithm here on infrared images is better than sobel edge detection operators. The method was also proved with good performance and efficient in dynamic fire mapping and monitoring.

Key words: MODIS, multibands image gradient, burn scar, fire line detection