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Improvement of satellite derived pollution maps with the use of a geostatistical interpolation method

Author

Listed:
  • P.S. Kanaroglou

    (University of the Aegean, Department of Geography, GR - 81100 Mytilini, Greece (e-mail: Kanaroglou@aegean.gr))

  • N.A. Soulakellis

    (University of the Aegean, Department of Geography, GR - 81100 Mytilini, Greece (e-mail: Kanaroglou@aegean.gr))

  • N.I. Sifakis

    (National Observatory of Athens, Institute for Space Applications and Remote Sensing, Greece)

Abstract

. The small number of ground stations for the assessment of the spatial distribution of air pollutants motivates the search for methods that make use of satellite images. One such method, known as Differential Texture Analysis (DTA), is used to measure the Aerosol Optical Thickness in the Visible (AOTV), which correlates highly with air quality. With this method, the presence of clouds and/or land cover changes produce patches of missing values. In this paper we demonstrate that universal kriging can be used to obtain reasonable estimates for these missing values. The methodology was applied to a satellite derived AOTV map of the city of Brescia (Italy).

Suggested Citation

  • P.S. Kanaroglou & N.A. Soulakellis & N.I. Sifakis, 2002. "Improvement of satellite derived pollution maps with the use of a geostatistical interpolation method," Journal of Geographical Systems, Springer, vol. 4(2), pages 193-208, June.
    • Handle: RePEc:kap:jgeosy:v:4:y:2002:i:2:d:10.1007_s101090100080
    DOI: 10.1007/s101090100080
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    Cited by:

    1. Daniel Dunea & Stefania Iordache & Alin Pohoata, 2016. "Fine Particulate Matter in Urban Environments: A Trigger of Respiratory Symptoms in Sensitive Children," IJERPH, MDPI, vol. 13(12), pages 1-18, December.
    2. José-María Montero & Coro Chasco & Beatriz Larraz, 2010. "Building an environmental quality index for a big city: a spatial interpolation approach combined with a distance indicator," Journal of Geographical Systems, Springer, vol. 12(4), pages 435-459, December.
    3. Antonio Páez & Fei Long & Steven Farber, 2008. "Moving Window Approaches for Hedonic Price Estimation: An Empirical Comparison of Modelling Techniques," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1565-1581, July.

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