NDLI: Correlation-based temperature and emissivity separation algorithm

Content Provider	Springer Nature Link
Author	Cheng, Jie Liu, QinHuo Li, XiaoWen Xiao, Qing Liu, Qiang Du, YongMing
Copyright Year	2008
Abstract	Based on analyzing the relationship between the atmospheric downward radiance and surface emissivity, this paper proposes a correlation criterion to optimize surface temperature during the process of temperature and emissivity separation from thermal infrared hyperspectral data, and puts forward the correlation-based temperature and emissivity separation algorithm (CBTES). The algorithm uses the correlation between the atmospheric downward radiance and surface emissivity to optimize surface temperature, and obtains surface emissivity with this temperature. The accuracy of CBTES was evaluated by the simulated thermal infrared hyperspectral data. The simulated results show that the CBTES can achieve high accuracy of temperature and emissivity inversion. CBTES has been compared with the iterative spectrally smooth temperature/emissivity separation (ISSTES), and the comparison results show that they have relative accuracy. Besides, CBTES is insensitive to the instrumental random noise and the change of atmospheric downward radiance during the measurements. As regards the nonisothermal pixel, its radiometric temperature changes slowly with the wavenumber when its emissivity is defined as r-emissivity. The CBTES can be used to derive the equivalent temperature of nonisothermal pixel in a narrow spectral region when we assumed that the radiometric temperature is invariable in the narrow spectral region. The derived equivalent temperatures in multi-spectral regions in 714–1250 cm$^{−1}$ can characterize the change trend of nonisothermal pixel’s radiometric temperature.
Starting Page	357
Ending Page	369
Page Count	13
File Format	PDF
ISSN	10069313
Journal	Science in China Series D: Earth Sciences
Volume Number	51
Issue Number	3
e-ISSN	18622801
Language	English
Publisher	Science in China Press
Publisher Date	2008-01-01
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	correlation temperature and emissivity separation nonisothermal pixel thermal infrared remote sensing Geosciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences

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