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Article

Temperature and Emissivity Inversion Accuracy of Spectral Parameter Changes and Noise of Hyperspectral Thermal Infrared Imaging Spectrometers

by 1,2, 1, 1,2, 1,2,* and 1,2
1
Key Lab of Space Active Opto-Electronic Techniques, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 2109; https://doi.org/10.3390/s20072109
Received: 12 February 2020 / Revised: 25 March 2020 / Accepted: 5 April 2020 / Published: 8 April 2020
(This article belongs to the Special Issue Hyperspectral Remote Sensing of the Earth)
The emergence of hyperspectral thermal infrared imaging spectrometers makes it possible to retrieve both the land surface temperature (LST) and the land surface emissivity (LSE) simultaneously. However, few articles focus on the problem of how the instrument’s spectral parameters and instrument noise level affect the LST and LSE inversion errors. In terms of instrument development, this article simulated three groups of hyperspectral thermal infrared data with three common spectral parameters and each group of data includes tens of millions of simulated radiances of 1525 emissivity curves with 17 center wavelength shift ratios, 6 full width at half maximum (FWHM) change ratios and 6 noise equivalent differential temperatures (NEDTs) under 15 atmospheric conditions with 6 object temperatures, inverted them by two temperature and emissivity separation methods (ISSTES and ARTEMISS), and analyzed quantitatively the effects of the spectral parameters change and noise of an instrument on the LST and LSE inversion errors. The results show that: (1) center wavelength shifts and noise affect the inversion errors strongly, while FWHM changes affect them weakly; (2) the LST and LSE inversion errors increase with the center wavelength shift ratio in a quadratic function and increase with FWHM change ratio slowly and linearly for both the inversion methods, however they increase with NEDT in an S-curve for ISSTES while they increase with NEDT slightly and linearly for ARTEMISS. During the design and development of a hyperspectral thermal infrared instrument, it is highly recommended to keep the potential center wavelength shift within 1 band and keep NEDT within 0.1K (corresponding LST error < 1K and LSE error < 0.015) for normal applications and within 0.03K (corresponding LST error < 0.5K and LSE error < 0.01) for better application effect and level. View Full-Text
Keywords: hyperspectral thermal infrared; temperature and emissivity separation; inversion error; center wavelength shift; FWHM change; instrument noise hyperspectral thermal infrared; temperature and emissivity separation; inversion error; center wavelength shift; FWHM change; instrument noise
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MDPI and ACS Style

Shao, H.; Liu, C.; Li, C.; Wang, J.; Xie, F. Temperature and Emissivity Inversion Accuracy of Spectral Parameter Changes and Noise of Hyperspectral Thermal Infrared Imaging Spectrometers. Sensors 2020, 20, 2109. https://doi.org/10.3390/s20072109

AMA Style

Shao H, Liu C, Li C, Wang J, Xie F. Temperature and Emissivity Inversion Accuracy of Spectral Parameter Changes and Noise of Hyperspectral Thermal Infrared Imaging Spectrometers. Sensors. 2020; 20(7):2109. https://doi.org/10.3390/s20072109

Chicago/Turabian Style

Shao, Honglan, Chengyu Liu, Chunlai Li, Jianyu Wang, and Feng Xie. 2020. "Temperature and Emissivity Inversion Accuracy of Spectral Parameter Changes and Noise of Hyperspectral Thermal Infrared Imaging Spectrometers" Sensors 20, no. 7: 2109. https://doi.org/10.3390/s20072109

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