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A progressive approach for processing satellite data by operational research

Author

Listed:
  • Semih Kuter

    (Çankırı Karatekin University
    Middle East Technical University)

  • Gerhard-Wilhelm Weber

    (Middle East Technical University
    Middle East Technical University)

  • Zuhal Akyürek

    (Middle East Technical University
    Middle East Technical University)

Abstract

Satellite data, together with spatial technologies, have a vital importance in earth sciences to continuously monitor natural and physical processes. However, images taken by earth-observing satellites are often associated with uncertainties due to atmospheric effects (i.e., absorption and scattering by atmospheric gases and aerosols). In this paper, a more adaptable approach for the removal of atmospheric effects from satellite data is introduced within an operational research perspective by utilizing nonparametric regression splines. Regional atmospheric correction models via multivariate adaptive regression splines (MARS) are applied on a set of satellite images for Alps and Turkey to calculate surface reflectance values. A classical radiative transfer based atmospheric correction method is likewise employed on the same data set. The results are compared in terms of relative differences with respect to surface reflectance data. MARS provides significant improvement in the order of 40 and 37 % for Alps and Turkey, respectively.

Suggested Citation

  • Semih Kuter & Gerhard-Wilhelm Weber & Zuhal Akyürek, 2017. "A progressive approach for processing satellite data by operational research," Operational Research, Springer, vol. 17(2), pages 371-393, July.
    • Handle: RePEc:spr:operea:v:17:y:2017:i:2:d:10.1007_s12351-016-0229-x
    DOI: 10.1007/s12351-016-0229-x
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    References listed on IDEAS

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    1. Yang, Min-Hsiung & Yeh, Rong-Hua, 2016. "Economic performances optimization of an organic Rankine cycle system with lower global warming potential working fluids in geothermal application," Renewable Energy, Elsevier, vol. 85(C), pages 1201-1213.
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