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Sensors 2015, 15(6), 13406-13423; doi:10.3390/s150613406

A Multi-Channel Method for Retrieving Surface Temperature for High-Emissivity Surfaces from Hyperspectral Thermal Infrared Images

1
ICube, UdS, CNRS, 300 Bld Sebastien Brant, CS10413, 67412 Illkirch, France
2
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China
3
School of Computer and Information, Hefei University of Technology, Hefei 230009, China
4
Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 20 March 2015 / Revised: 28 March 2015 / Accepted: 1 June 2015 / Published: 8 June 2015
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [5883 KB, uploaded 9 June 2015]   |  

Abstract

The surface temperature (ST) of high-emissivity surfaces is an important parameter in climate systems. The empirical methods for retrieving ST for high-emissivity surfaces from hyperspectral thermal infrared (HypTIR) images require spectrally continuous channel data. This paper aims to develop a multi-channel method for retrieving ST for high-emissivity surfaces from space-borne HypTIR data. With an assumption of land surface emissivity (LSE) of 1, ST is proposed as a function of 10 brightness temperatures measured at the top of atmosphere by a radiometer having a spectral interval of 800–1200 cm−1 and a spectral sampling frequency of 0.25 cm−1. We have analyzed the sensitivity of the proposed method to spectral sampling frequency and instrumental noise, and evaluated the proposed method using satellite data. The results indicated that the parameters in the developed function are dependent on the spectral sampling frequency and that ST of high-emissivity surfaces can be accurately retrieved by the proposed method if appropriate values are used for each spectral sampling frequency. The results also showed that the accuracy of the retrieved ST is of the order of magnitude of the instrumental noise and that the root mean square error (RMSE) of the ST retrieved from satellite data is 0.43 K in comparison with the AVHRR SST product. View Full-Text
Keywords: surface temperature retrieval; spectral information; hyperspectral thermal infrared images; IASI surface temperature retrieval; spectral information; hyperspectral thermal infrared images; IASI
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Zhong, X.; Labed, J.; Zhou, G.; Shao, K.; Li, Z.-L. A Multi-Channel Method for Retrieving Surface Temperature for High-Emissivity Surfaces from Hyperspectral Thermal Infrared Images. Sensors 2015, 15, 13406-13423.

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