DIRS Laboratory 76-3215
December 6, 2019 at 8:00am
MS Thesis Defense



Landsat thermal instruments have been a significant source of data for thermal remote sensing applications, and future Landsat missions will continue this tradition. This work was designed to help inform the requirements for several parameters of future Landsat thermal instruments, and assess the impact that these parameters can have on the retrieved Land Surface Temperature (LST). Two main studies were conducted in this research. The first will investigate the impact that uncertainty in the spectral response of the bands will have on the LST product using the Split Window Algorithm. The main parameters that will be tested are the center and width of the bands. The second study will investigate the impact of stray light on LST, including different magnitudes of stray light and different combinations of in-field and out-of-field targets.


The results of the band study showed that shifting of the bands seems to have a larger impact on the LST than widening of the bands. Small shifts of only +/- 50 nm can cause errors of over 1 K in the LST. It was also found that higher water vapor content in the atmosphere can increase the error in the LST-retrieval. The stray light study indicates, with respect to LST-retrieval, that residual errors in the split window algorithm process are larger than those introduced by stray light, except for extreme cases. Additionally, it was found that the total magnitude of the stray light is not the only factor that effects the accuracy of LST-retrieval, but the relationship between the magnitude of stray light in the individual bands seems to have more of an impact.