Development of an image based integrated method for determining and mapping aerosol optical thickness (AOT) over urban areas using the darkest pixel atmospheric correction method,RT equation and GIS: A case study of the Limassol area in Cyprus |
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| Institution: | 1. University of Calgary, Calgary, AB, Canada;2. TOBB University of Economics and Technology, Ankara, Turkey;3. Istanbul Medipol University, Istanbul, Turkey;1. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi''an 710075, China;2. Analytical Chemistry Section, Council of Scientific and Industrial Research-National Physical Laboratory, New Delhi 110012, India;3. Department of Geographical Science and Environmental Engineering, Baoji University of Arts and Sciences, Baoji 721013, China |
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| Abstract: | This paper presents the development of an image-based integrated method for determining and mapping aerosol optical thickness (AOT). Using the radiative transfer (RT) equation, a methodology was developed to create a Geographical Information System (GIS) model that can visually display the AOT distribution over urban areas. In this paper, the model was applied to eleven Landsat Thematic Mapper/Enhanced Thematic Mapper Plus (TM/ETM+) satellite images of Limassol, Cyprus during 2010 and 2011 to determine the AOT levels in Limassol Cyprus during satellite overpass. The study is innovative and unique in that the RT equation, satellite images, the darkest pixel (DP) method of atmospheric correction and GIS were integrated to derive AOT from satellite images and display the AOT distribution over an urban area without the input of any meteorological or atmospheric parameters. The accuracy of the algorithm was verified through statistical analysis by the strong agreement between the AOT values derived using the algorithm and the in situ AOT values from the ground-based sensors. |
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| Keywords: | AOT GIS Atmospheric correction MATLAB Landsat Image-based mapping |
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