NDLI: Preliminary evaluation of linear spectral emissivity constraint temperature and emissivity separation method for contrast samples from hyperspectral thermal infrared data

Content Provider	IEEE Xplore Digital Library
Author	Yong-Gang Qian Ning Wang Caixia Gao Yuan-Yuan Jia Lingling Ma Hua Wu Zhao-Liang Li Lingli Tang
Copyright Year	2013
Description	Author affiliation: State Key Lab. of Resources & Environ. Inf. Syst., Inst. of Geogr. Sci. & Natural Resources Res., Beijing, China (Hua Wu; Zhao-Liang Li) \|\| Key Lab. of Quantitative Remote Sensing Inf. Technol., Acad. of Opto-Electron., Beijing, China (Yong-Gang Qian; Ning Wang; Caixia Gao; Yuan-Yuan Jia; Lingling Ma; Lingli Tang)
Abstract	Land surface temperature and emissivity separation (TES) is a key problem in thermal infrared remote sensing. Current TES methods were proposed and succeeded to apply for the retrieval of land surface temperature and emissivity for the materials with emissivity close to 1. This work addressed the performance of linear spectral emissivity constraint (LSEC) method proposed by wang et al. (2011) for the TES of hyperspectral TIR data for contrast samples (high- and low- emissivity materials). The simulated hyperspectral TIR data are used for analysis and generated with six MODTRAN standard atmospheric profiles by hyperspectral atmospheric radiative transfer model (4A/OP). The influence of initial emissivity estimation is considered in this paper. The results show that initial emissivity estimation has a great impact on the performance of LSEC. LSEC method performs a fairly good result when the initial emissivity is close to the true value, and the RMSEs of temperature and emissivity are smaller than 0.5K and 0.01 when initial emissivity is good. However, the performance is worst when the initial emissivity has a great deviation.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	465
Ending Page	468
File Size	363652
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6721193
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atmospheric modeling Materials Land surface Land surface temperature Hyperspectral imaging Atmospheric measurements Temperature sensors LSEC method low emissivity Hyperspectral thermal infrared
Content Type	Text
Resource Type	Article

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