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SALBEC – A Python Library and GUI Application to Calculate the Diurnal Variation of the Soil Albedo

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  • Jasiewicz Jarosław

    (Laboratory of Applied Geoinformatics, Adam Mickiewicz University in Poznań, Poland)

  • Cierniewski Jerzy

    (Laboratory of Remote Sensing of Environment, Adam Mickiewicz University in Poznań, Poland)

Abstract

This study presents the SALBEC – Soil ALBEdo Calculator – a Python library and Graphical User Interface designed to predict the diurnal variation of the clear-sky albedo based on the soil surface properties. Such predictions are becoming more and more necessary with the increasing role of remote measurements. The software uses the following input parameters: the soil spectrum, soil roughness, day of the year (DOY) and sample location. It returns the diurnal albedo variation and, as a unique feature, optimal observation time in the form of tables and graphs as outputs. Models created with the SALBEC were compared with the data acquired under near clear-sky conditions. The comparison shows that the differences between the models and measured data do not exceed the variation of input parameters. The software is directed towards scientists and professionals who require precise estimations of the albedo of soils for different field observation times. Our software is issued as free and open source software (FOSS) and is publicly available at https://github.com/jarekj71/salbec.

Suggested Citation

  • Jasiewicz Jarosław & Cierniewski Jerzy, 2021. "SALBEC – A Python Library and GUI Application to Calculate the Diurnal Variation of the Soil Albedo," Quaestiones Geographicae, Sciendo, vol. 40(3), pages 95-107, September.
    • Handle: RePEc:vrs:quageo:v:40:y:2021:i:3:p:95-107:n:12
    DOI: 10.2478/quageo-2021-0026
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    References listed on IDEAS

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    1. Hay, John E., 1993. "Calculating solar radiation for horizontal surfaces—I. Theoretically based approaches," Renewable Energy, Elsevier, vol. 3(4), pages 357-364.
    2. Antoine Stevens & Marco Nocita & Gergely Tóth & Luca Montanarella & Bas van Wesemael, 2013. "Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-13, June.
    3. Ziar, Hesan & Sönmez, Furkan Fatih & Isabella, Olindo & Zeman, Miro, 2019. "A comprehensive albedo model for solar energy applications: Geometric spectral albedo," Applied Energy, Elsevier, vol. 255(C).
    4. Hay, John E., 1993. "Calculating solar radiation for horizontal surfaces—II. Empirically based approaches," Renewable Energy, Elsevier, vol. 3(4), pages 365-372.
    5. Hay, John E., 1993. "Calculating solar radiation for inclined surfaces: Practical approaches," Renewable Energy, Elsevier, vol. 3(4), pages 373-380.
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