Forest fire has been a major issue all over the world. Every year, thousands of miles of forest and human infrastructure are destroyed by forest fires, lives are threatened, injured and even killed. The damage on the economy reach millions of dollars along with loss of important natural resources. Forest fire have become a serious natural danger since forests play critical roles in nature. Therefore, great efforts have been devoted to the detection of forest fires before they into uncontrollable. Traditionally, forest fire monitoring and detection method include building watch towers and human observers which is an  extensive labor force and threat to personal safety. With the development of science and technology, remote sensing techniques for forest fire detection has attracted the worldwide attention. Remote Sensing datasets are capable of meeting spatio-temporal requirements which is low-cost, safe and rapid. Moreover, the availability of thermal infrared bands which can be used to detect the sudden change in surface temperature of the land comes handy while detecting the forest fire at the early stage. The purpose of this project is to utilize the Thermal Infrared bands available in Landsat 8 OLI/TIRs to detect the change in Land Surface Temperature (LST) during forest fire occurrence at the early stage, so that the fire can be controlled in time to protect life and property before its too late.

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