Pixel-oriented land use classification in energy balance modelling

Authors

  • Giuseppina Scavone,

    Corresponding author
    1. Department of Environmental Engineering and Physics, University of Basilicata, Potenza, Italy
    • Correspondence to: Giuseppina Scavone, Department of Environmental Engineering and Physics, University of Basilicata, Viale dell'Ateneo Lucano, 10-85100 Potenza, Italy.

      E-mail: scavone@unibas.it

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  • Juan Manuel Sánchez,

    1. Department of Earth Physics and Thermodynamics, Faculty of Physics, University of Valencia, Burjassot, Spain
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    • Present address: Department of Applied Physics, University of Castilla-La Mancha, Plaza de Manuel Meca, 1-13400 Almadén, Spain.
  • Vito Telesca,

    1. Department of Environmental Engineering and Physics, University of Basilicata, Potenza, Italy
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  • Vicente Caselles,

    1. Department of Earth Physics and Thermodynamics, Faculty of Physics, University of Valencia, Burjassot, Spain
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  • Vito A. Copertino,

    1. Department of Environmental Engineering and Physics, University of Basilicata, Potenza, Italy
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  • Vittoria Pastore,

    1. Department of Environmental Engineering and Physics, University of Basilicata, Potenza, Italy
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  • Enric Valor

    1. Department of Earth Physics and Thermodynamics, Faculty of Physics, University of Valencia, Burjassot, Spain
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Abstract

Mass and energy transfer between soil, vegetation and atmosphere is the process that allows to maintain an adequate energy and water balance in the earth–atmosphere system. However, the evaluation of the energy balance components, such as the net radiation and the sensible and latent heat fluxes, is characterized by significant uncertainties related to both the dynamic nature of heat transfer processes and surfaces heterogeneity. Therefore, a detailed land use classification and an accurate evaluation of vegetation spatial distribution are required for an accurate estimation of these variables. For this purpose, in the present article, a pixel-oriented supervised classification was applied to obtain land use maps of the Basilicata region in Southern Italy by processing three Landsat TM and ETM+ satellite images. An accuracy analysis based on the overall accuracy index and the agreement Khat of Cohen coefficient showed a good performance of the applied classification methodology and a good quality of the obtained maps. Subsequently, these maps were used in the application of a simplified two-source energy balance model for estimating the actual evapotranspiration at a regional scale. The comparison between the simulations made by applying the simplified two-source energy balance model and the measurements of evapotranspiration at a lysimetric station located in the study area showed the applicability and the validity of the proposed methodology. Copyright © 2012 John Wiley & Sons, Ltd.

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