Abstract
Thermal infrared remote sensing data such as Landsat, Aster, MODIS... can be used to extract the land surface temperature. However, due to the spatial resolution of thermal infrared band is low, land surface temperature calculated from satellite images, such as Landsat and Aster is used not effective-ly to small-scales area. This paper presents the results of a study of combining multi-resolution remote sensing data, including Landsat 8 and Sentiel 2A satellite imagery, to enhance the spatial resolution of land surface temperature. In this study, we also have built program for land surface temperature calculation using the Matlab programming language. The program has a simple interface with fast calculation and guarantee accuracy when compared to other image processing programs.
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