Combined Use of Landsat 8 and Sentinel 2 Images for Enhanced Spatial Resolution of Land Surface Temperature

Abstract

Abstract: Land surface temperature is one of the most important factors in studying urban heat island, monitoring forest fire and coal fire as well as input parameters for climate models. Ground-based observations reflect only thermal condition of local area around the stations and in fact cannot establish the number of meteorological stations with expected density due to the high cost. Remote sensing technology with advantages such as wide area coverage and short revisiting interval has been used effectively in the study of land surface temperature distribution. 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 not applicable to small-scales area effectively. 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. The results show that, in the case of combining Sentinel 2 and Landsat 8 images, the spatial resolution of land surface temperature is increased to 10m, compared to 30m in the case of using only Landsat 8 data. For the two experimental areas, comparison of the lowest and highest land surface temperature as well as the 10 random test points showed that, the difference between land surface temperatures in the case of combining Landsat 8 and Sentinel 2 and in the case of using only Landsat 8 images are negligible.

Keywords: Remote sensing, land surface temperature, spatial resolution, Landsat 8, Sentinel 2.

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