title: Retrieving Land Surface Temperature from Hyperspectral Thermal Infrared Data Using a Multi-Channel Method.
abstract: Land Surface Temperature (LST) is a key parameter in climate systems. The methods for retrieving LST from hyperspectral thermal infrared data either require accurate atmospheric profile data or require thousands of continuous channels. We aim to retrieve LST for natural land surfaces from hyperspectral thermal infrared data using an adapted multi-channel method taking Land Surface Emissivity (LSE) properly into consideration. In the adapted method, LST can be retrieved by a linear function of 36 brightness temperatures at Top of Atmosphere (TOA) using channels where LSE has high values. We evaluated the adapted method using simulation data at nadir and satellite data near nadir. The Root Mean Square Error (RMSE) of the LST retrieved from the simulation data is 0.90 K. Compared with an LST product from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on Meteosat, the error in the LST retrieved from the Infared Atmospheric Sounding Interferometer (IASI) is approximately 1.6 K. The adapted method can be used for the near-real-time production of an LST product and to provide the physical method to simultaneously retrieve atmospheric profiles, LST, and LSE with a first-guess LST value. The limitations of the adapted method are that it requires the minimum LSE in the spectral interval of 800-950 cm(-1) larger than 0.95 and it has not been extended for off-nadir measurements.
authors.affiliation: ICube, UdS, CNRS, 300 Bld Sebastien Brant, CS10413, Illkirch 67412, France. x.zhong@unistra.fr.
authors.forename: Xinke
authors.initials: X
authors.lastname: Zhong
authors.affiliation: School of Computer and Information, Hefei University of Technology, Hefei 230009, China. huoxing@hfut.edu.cn.
authors.forename: Xing
authors.initials: X
authors.lastname: Huo
authors.affiliation: College of Geometics and Geoinformation, Guilin University of Technology, Guilin 541004, China. renchao@glut.edu.cn.
authors.forename: Chao
authors.initials: C
authors.lastname: Ren
authors.affiliation: ICube, UdS, CNRS, 300 Bld Sebastien Brant, CS10413, Illkirch 67412, France. labed@unistra.fr.
authors.forename: Jelila
authors.initials: J
authors.lastname: Labed
authors.affiliation: Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China. lizhaoliang@caas.cn.
authors.forename: Zhao-Liang
authors.initials: ZL
authors.lastname: Li
keywords: hyperspectral thermal infrared; land surface emissivity; land surface temperature; multi-channel method