In this paper, two methods to retrieve the Land Surface Temperature (LST) from thermal infrared data supplied by band 10 and 11 of the Thermal Infrared Sensor (TIRS) onboard the Landsat 8 is compared. The first is mono window algorithm developed by Qin et al. and the second is split window algorithm by Rozenstein et al. The purpose of this study is to perform the spatial distribution of land surface temperature, as well as to determine more accurate algorithm for retrieving land surface temperature by calculated root mean square error (RMSE). Finally, we present comparison the spatial distribution of land surface temperature by both of algorithm, and more accurate algorithm is split window algorithm refers to the root mean square error (RMSE) is 7.69° C.
|Journal||IOP Conference Series: Earth and Environmental Science|
|Publication status||Published - 16 May 2018|
|Event||4th International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring 2017, LISAT-FSEM 2017 - Bogor, Indonesia|
Duration: 9 Oct 2017 → 11 Oct 2017