NOAA Satellites LST-SW Algorithms Review: NOAA-20 (JPSS-1) Proposal

The Split-Window (SW) algorithm has been developed in order to retrieve Land Surface Temperatures (LST) from Thermal InfraRed (TIR) remote sensing data. In this paper, a study has been carried out using MODTRAN 4.0 radiative transfer code simulations using the TIR channels of the Infrared Imager Radiometer Suite (VIIRS) and The Advanced Very High Resolution Radiometer (AVHRR) onboard the National Oceanic and Atmospheric Administration (NOAA) Satellites to obtain numerical coefficients of the proposed algorithms. Results from validation, using the standard atmospheric simulation for various situations and the ground truth data sets demonstrate the applicability of the algorithm. A detailed analysis of the estimated total error in LST-SW,
$\delta_{\text{Total}(\text{Ts})}$
, shows that the algorithms are able to estimate accurate LST with mean value of about 1.31 K, a minimum of 1.25 K and a maximum of 1.38 K (with an amplitude of 0.13 K), a standard deviation of about 0.04 K and a root mean square error (rmse) of about 1.31 K.