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A progressive approach for processing satellite data by operational research

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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.

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Acknowledgments

The authors would like to thank the anonymous reviewers for their valuable comments and remarks which improved the quality of the paper. The earth package used for MARS model building is available at https://cran.r-roject.org/web/packages/earth/index.html. The RT code SMAC is also open source and can be found at http://www.cesbio.ups-tlse.fr/us/serveurs4.htm. The MODIS image data used in this study can be downloaded free of charge from http://modis.gsfc.nasa.gov/data/.

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Authors and Affiliations

  1. Department of Forest Engineering, Faculty of Forestry, Çankırı Karatekin University, 18200, Çankırı, Turkey

    Semih Kuter

  2. Institute of Applied Mathematics, Middle East Technical University, 06800, Ankara, Turkey

    Semih Kuter & Gerhard-Wilhelm Weber

  3. Department of Civil Engineering, Faculty of Engineering, Middle East Technical University, 06800, Ankara, Turkey

    Zuhal Akyürek

  4. Department of Geodetic and Geographic Information Technologies, Graduate School of Natural and Applied Sciences, Middle East Technical University, 06800, Ankara, Turkey

    Gerhard-Wilhelm Weber & Zuhal Akyürek

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  1. Semih Kuter
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  2. Gerhard-Wilhelm Weber
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Correspondence to Semih Kuter.

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Kuter, S., Weber, GW. & Akyürek, Z. A progressive approach for processing satellite data by operational research. Oper Res Int J 17, 371–393 (2017). https://doi.org/10.1007/s12351-016-0229-x

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