Title :
Error analysis for emissivity measurement using FTIR spectrometer
Author :
Kai Yan ; Huazhong Ren ; Ronghai Hu ; Xihan Mu ; Zhao Liu ; Guangjian Yan
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
The ground-measured emissivity is always affected by many kinds of noises, which lead the retrieval accuracy to be out of expectation. This paper investigates the influence of three major noises (formula simplification, surface temperature measurement, and temperature emissivity separation algorithm) on the spectral emissivity by using simulation data based on radiative transfer model and field measured data from portable 102F infrared spectrometer. The findings of this paper can provide some suggestions for the further emissivity measurement.
Keywords :
Fourier transform spectrometers; emissivity; error analysis; geophysical signal processing; infrared spectrometers; noise; radiative transfer; remote sensing; FTIR spectrometer; emissivity measurement; error analysis; formula simplification; ground measured emissivity; noise; radiative transfer model; retrieval accuracy; surface temperature measurement; temperature emissivity separation algorithm; Equations; Land surface temperature; Mathematical model; Noise; Ocean temperature; Sea measurements; Temperature measurement; 102F; Emissivity measurement; Error analysis; ISSTES; infrared spectrometer;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723477