Title :
Spectral mixture analysis of thermal infrared spectrometry data: effects of radiometric resolution on accuracy
Author :
Collins, E.F. ; Roberts, D.A. ; Borel, C.C.
Author_Institution :
California Univ., Santa Barbara, CA, USA
Abstract :
At-sensor thermal infrared (TIR) radiation varies with the temperature and emissivity of surface materials, and is affected by atmospheric absorption and emission to varying degrees across the TIR spectrum. One analysis method, temperature emissivity separation (TES) using spectral mixture analysis (SMA), or TESSMA, is extremely dependent on the existence of discrete wavelength bands of sufficient radiometric accuracy to make accurate composition and surface temperature estimates. This analysis focuses on understanding the effects of radiometric inaccuracy on overall estimate accuracy.
Keywords :
geophysical signal processing; image resolution; infrared spectroscopy; radiometry; remote sensing; spectral analysis; SMA; TES; TESSMA; TIR; accuracy; atmospheric absorption; atmospheric emission; discrete wavelength bands; radiometric resolution; spectral mixture analysis; temperature emissivity separation; thermal infrared spectrometry data; Degradation; Gaussian noise; Infrared spectra; Isothermal processes; Noise figure; Radiometry; Soil; Spectral analysis; Spectroscopy; Temperature distribution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1027287