AN IMPROVED WILDFIRE DETECTION ALGORITHM FOR SGLI AND MODIS

摘要

Wild fire product has strong demands from society. Understanding these demands is important to consider the strategy to develop SGLI wild fire product. As an example, Alaska Fire Service (AFS) downloads wild fire product and their GIS specialist makes a 3D-Map (i.e. Google Earth) every morning. Then, this map is examined by leaders of fire fighting teams to decide their strategy to fighting against wild fire. Especially they seek the walk path approaching to fire from the nearest transportation; road, railroad or aircraft landing place. Also, in case of remote wild fire, they utilize this product to decide flight observation to confirm the status of wild fire; expanding, flaming, smoldering or out. Not only the aspect of disaster management, wildfire emits huge amount of carbon into atmosphere as much as one quarter to one half of CO2 by fuel combustion. Reduction of the CO2 emission by human caused wildfire is important for climate change.