Urban aerosol mapping over Athens using the differential textural analysis (DTA) algorithm on MERIS-ENVISAT data |
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| Authors: | Adrianos Retalis Nicolaos Sifakis |
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| Institution: | 1. Institute for Astronomy, Astrophysics, Space Application and Remote Sensing, National Observatory of Athens, Greece;2. School of Earth, Atmospheric and Environmental Sciences, The University of Manchester, Manchester, UK;3. National Centre for Atmospheric Science, The University of Manchester, Manchester, UK;4. National Technical University of Athens, Zografou, Greece;5. School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA;6. ECPL, Department of Chemistry, University of Crete, Voutes, 71003 Heraklion, Greece;7. School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA;8. Institute of Chemical Engineering Sciences (ICE-HT), FORTH, Patras, Greece;9. IERSD, National Observatory of Athens, P. Penteli, 15236 Athens, Greece;10. School of Earth and Environment, University of Leeds, Leeds, UK;11. Satellite Applications, Met Office, Exeter, UK;12. National Institute of R&D for Optoelectronics, Magurele, Romania;13. Department of Physics, Aristotle, University of Thessaloniki, Thessaloniki, Greece;14. Institute of Physics of the National Academy of Science of Belarus, Minsk, Belarus;1. Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China;2. Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, China;3. Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong;4. Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou, China;5. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, China |
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| Abstract: | Low and moderate spatial resolution satellite sensors (such as TOMS, AVHRR, SeaWiFS) have already shown their capability in tracking aerosols at a global scale. Sensors with moderate to high spatial resolution (such as MODIS and MERIS) seem also to be appropriate for aerosol retrieval at a regional scale. We investigated in this study the potential of MERIS-ENVISAT data to resolve the horizontal spatial distribution of aerosols over urban areas, such as the Athens metropolitan area, by using the differential textural analysis (DTA) code. The code was applied to a set of geo-corrected images to retrieve and map aerosol optical thickness (AOT) values relative to a reference image assumed to be clean of pollution with a homogeneous atmosphere. The comparison of satellite retrieved AOT against PM10 data measured at ground level showed a high positive correlation particularly for the AOT values calculated using the 5th MERIS’ spectral band (R2=0.83). These first results suggest that the application of the DTA code on cloud free areas of MERIS images can be used to provide AOT related to air quality in this urban region. The accuracy of retrieved AOT mainly depends on the overall quality, the pollution cleanness and the atmospheric homogeneity of the reference image. |
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