38. A Simplified Approach for Measuring Land Surface Temperature and
Emissivity Simultaneously Using Thermal Infrared Channels
Author：
Yunyue Yu, Li Fang, Donglian Sun, Hui Xu
Affiliation： NOAA/NESDIS
Accurate derivations of land surface temperature (LST) and land surface emissivity
(LSE) from satellite measurements are difficult tasks mainly because they are closely
coupled. Features of significant/insignificant temporal variation of LST/LSE are
recognized to de-couple the LST and LSE values using multiple-temporal satellite
observations over a same geolocation. In this study, a new approach is presented for
deriving LST and LSE simultaneously by utilization of the multiple-temporal
satellite observations. Two split-window regression LST formulas are carefully
selected for the approach; and two satellite observations over a same geolocation
within a certain time period are utilized. The method is particularly applicable to
geostationary satellite missions in which qualified multiple-temporal observations
are easy to obtain. The approach is designed and implemented for generating the
LST and LSE values from the U.S. Geostationary Operational Environmental
Satellite (GOES) 8 Imager data and the Spinning Enhanced Visible and Infrared
Imager (SEVIRI) data. The retrieval results are evaluated using ground truth
observations from the U.S. Atmospheric Radiation Measurement (ARM) facility. It
is shown that the method is feasible in principle as well as in practice. The method is
applicable to the U.S. GOES-R mission and the European Meteosat Second
Generation (MSG) mission considering that the Advanced Baseline Imager (ABI)
onboard the GOES-R satellite and the SEVIRI onboard the MSG satellite have the
similar split-window bands.