Comparison of different water infrared emissivity retrieval methods with the theoretical model

Ji-An Wei; Difeng Wang; Fang Gong; Yan Bai; Xianqiang He; Jianyu Chen

doi:10.1117/12.2193857

12 October 2015 Comparison of different water infrared emissivity retrieval methods with the theoretical model

Ji-An Wei, Difeng Wang, Fang Gong, Yan Bai, Xianqiang He, Jianyu Chen

Proceedings Volume 9639, Sensors, Systems, and Next-Generation Satellites XIX; 963920 (2015) https://doi.org/10.1117/12.2193857
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Water surface emissivity is a vital parameter in thermal remote sensing, since knowledge of them is required to estimate surface temperature with enough accuracy. It is also important in meteorological and climatological analysis. In this study, we show the results obtained for the water surface emissivity spectra from absolute emissivity method (AE) and the temperature and emissivity separation (TES) algorithm in the laboratory measurements with a mutiband thermal radiometer. And compare the retrieved emissivities with the water surface theoretical model. The results show that there is an agreement better than 1% for all bands for AE method, However, the TES algorithm retrieves get bad results, the deviations nearly reach 3%, due to the water have low emissivity spectral contrast, which correspond to an error in water surface temperature from 1.7 K to 2K. By revising TES algorithm (TSE*), which precision indicate accuracy of lower than 1%. Both AE and revised TES (TES*) algorithm demonstrate that they can be applying to retrieve accurate emissivity spectra for water surfaces in laboratory measurements. And providing other emissivity measurements methods reference, also supplying some thermal emission and temperature algorithm researches guidance.

Citation Download Citation

Ji-An Wei, Difeng Wang, Fang Gong, Yan Bai, Xianqiang He, and Jianyu Chen "Comparison of different water infrared emissivity retrieval methods with the theoretical model", Proc. SPIE 9639, Sensors, Systems, and Next-Generation Satellites XIX, 963920 (12 October 2015); https://doi.org/10.1117/12.2193857

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KEYWORDS

Temperature metrology

Radiometry

Infrared radiation

Detection and tracking algorithms

Algorithm development

Algorithms

Atmospheric modeling

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