| 摘要 |
In brief, it is a method of monitoring wildfires and detecting ignition points in real- time using satellite images and vegetation fuel data. The method belongs to the fields of remote sensing and digital image analysis. The method addresses the issue of the low spatial resolution of satellite images that are used to monitor fires by combining satellite images with vegetation fuel data, as well as data of topography and meteorology. The satellite image is separated using an automated algorithm implemented for digital processing, into burning and non-burning sub-pixels. Subsequently, based on fuel data, vegetation density and topography datasets that have better spatial resolution than the satellite image, pixels of satellite imagery are divided into sub-pixels of smaller dimension, thus illustrating and representing sub-areas of fire observation with higher spatial resolution for which a fire probability indicator is being calculated. Then, taking into account the flammability information of each sub-pixel as well as meteorological data, the most probable ignition point for each fire event is estimated. After applying a fire dispersion model initialized from the calculated fire ignition point using topography, vegetation fuel and meteorology data, the fire dispersion is computed and based on that, the fire probability indicator is re-estimated as well. |
