Jae-dong Jang
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چکیده
Land surface temperature is a significant parameter for energy and water cycles in the earth–atmosphere system. Many studies have proposed various algorithms, such as the split-windowmethod, for retrieving surface temperatures from two different thermal infrared bands ofsatellite data. Each algorithm is developed for a limited study area and application. Here, aspart of developing an optimal split-window method in southern Québec, a comparison ofalgorithms is carried out to evaluate the performance of each algorithm and examinecorrelation and differences between them. Furthermore, the deviation of surface temperaturederived from various algorithms is compared with the brightness temperature of the thermalinfrared band at 11 μm as a sensitivity test for atmospheric effects.
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تاریخ انتشار 2004