Wild・Forest Fires Occurrence and Extension Prediction due to Global Climate Change

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In this research, we developed the wild/forest fire detection softwear with high accuracy to detect hotspots of boreal forest fires in Alaska/Siberia and wildfires in Indonesia by using imagery data of satellites, in which we carried out ground truth and observed the fire spots with UAV in order to check the detection accuracy by the softwear. We also developed the simulation code to predict the fire expansion and verified the usefulness of the code. In addition, we proposed the quantitative method of decision for importance of project to mitigate the forest/wild fires and performance evaluation of the project.