Evaluation and improvement of a dual-channel method for detection and quantification of high-temperature events based on FireBIRD data

Abstract

High-temperature events, such as fire hazards and volcanic eruptions, occur all over the world and influent the Earth's environment on global to local scales. However, the lack of practical monitoring and understanding of the high-temperature events leads a number of problems. The FireBIRD mission of DLR aims to an effective monitoring and fully understanding of these events. In this thesis, a competitive method called MITIP for detection and quantification of high-temperature events is introduced. It provides surface temperature and radiance maps and high-temperature events monitoring products using FireBIRD data. A fully investigation and evaluation of its performance is implemented and an improvement of the MITIP method is also included. Products of the MITIP method and comparison of them with the results of Zhukov's algorithm, which is used to process the FireBIRD data originally, is presented.