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Comparison of emissivity retrieval methods from ASTER data using Fourier-Transform Infrared Spectroscopy

  • Research Article - Atmospheric & Space Sciences
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Abstract

Land surface emissivity retrieval is important for the remote identification of natural materials and can be used to identify the presence of silicate minerals. However, its estimation from passive sensors involves an undetermined function related to radiance data, which is influenced by the atmosphere. We tested three methods for temperature emissivity retrieval in a dune field composed of 99.53% quartz (SiO2) using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery. The tested methods were the reference channel method (RCM), emissivity normalization method (ENM), and temperature emissivity separation (TES) method. An average quartz reference spectrum for the dune samples was calculated from an emissivity database based on temperature and used to evaluate the emissivity products of four ASTER images. In general, the three tested methods had a good approximation when analysed the emissivity reference curve, especially for longer wavelengths that ranged between 2 and 4% of emissivity. The RCM and ENM produced very similar results with the coefficients of determination (R2) as 0.9960 (RMSE 0.0184) and 0.9959 (RMSE 0.0185), respectively. RCM method presented superior results (R2: 0.9960, RMSE: 0.0184), compared to the TES method (R2: 0.9947, RMSE: 0.0197). The TES method showed good results only for shorter wavelengths and, hence, to identify specific targets using ASTER data, such as silicate minerals, it is better to use the RCM method. The emissivity value selected at the saturation point of the spectral library based on temperature is fundamental in acquiring more reliable data.

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Acknowledgments

The ASTER 1T and AST_05 products were a courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, [https://lpdaac.usgs.gov/]. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES), finance code 001, and FAPERGS research foundation, Project: 2275-2551/14-1.

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Authors and Affiliations

  1. Geologic Remote Sensing Laboratory (LabSRGeo), Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande Do Sul, Brazil

    Silvia Beatriz Alves Rolim, Pâmela Suélen Käfer, Atilio Efrain Bica Grondona, María Luján Iglesias, Lucas Ribeiro Diaz & Cristiano Lima Hackmann

  2. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Bijeesh Kozhikkodan Veettil

  3. Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Bijeesh Kozhikkodan Veettil

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  1. Silvia Beatriz Alves Rolim
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Correspondence to Bijeesh Kozhikkodan Veettil.

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Rolim, S.B.A., Veettil, B.K., Käfer, P.S. et al. Comparison of emissivity retrieval methods from ASTER data using Fourier-Transform Infrared Spectroscopy. Acta Geophys. 68, 1867–1876 (2020). https://doi.org/10.1007/s11600-020-00498-x

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