| As one of the major disasters in the world, forest fire disaster, is devastating combustion that brings some loss to forest ecosystem and people. It always happens suddenly with a huge economic loss and destructibility to forest ecosystems. Forest fire disaster will change the physical status of land cover where it happened, and a lot of greenhouse gases will be released into atmosphere. Thus, forest fire has huge influence on the global environment and the climate change. It is very important to monitor the forest fire effectively.Remote sensing, with the high temporal and spatial resolution, is used for the monitoring of forest fire disaster, and the MODIS data is very suitable for the forest fire monitoring because its sensor was especially designed for this task. It is easy to retrieve forest fire information from the MODIS data with low cost. It can also be used in the nearly real-time forest fire monitoring because of its high temporal resolution characteristic. Some studies on how to use MODIS data to monitor the forest fire are carried out in this thesis.We modify fire detection algorithm of the MODIS fire product considering the forest conditions and the background of Sichuan and Chongqing province, and test the modified algorithm with the multi temporal MODIS data, the results show that the modified algorithm is suitable for daytime forest fire detection. A program, which is based on the modified algorithm and written with the IDL, is also provided in this thesis.The results indicate that remote sensing technique can do great jobs in forest disaster monitoring and it will play an important role in the future. |
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