A Single Channel Method for Land Surface Temperature Inversion without Atmospheric Correction

As one of the key parameters in the physics of land-surface processes, land surface temperature (LST) plays an important role in many fields, such as urban heat island effect, forest fire monitoring, drought monitoring and so on. Thermal infrared remote sensing is the main way to obtain LST in large scale. For the sensors with one TIR channel, the single channel methods are mostly used. These methods need to know atmospheric parameters and emissivity. However, the accuracy of atmospheric correction is different to guarantee in many cases, which limited the applicability and accuracy of these methods. Therefore, based on the channel correlation hypothesis, a single channel algorithm without atmospheric correction is proposed in this paper. The feasibility of this method is preliminarily verified by simulated and satellite data.