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Showing 1 to 3 of 3 for “"Aerosol Optical Thickness (AOT)"”.

  1. Automated dust storm detection using satellite images. Development of a computer system for the detection of dust storms from MODIS satellite images and the creation of a new dust storm database

    … sensing using true-colour images or estimates of aerosol optical thickness (AOT) and algorithms such as the deep blue algorithm have limitations for identifying dust storms. Many researchers have studied the detection of dust storms during daytime in a number of different regions of the world …

    bradford Repository record for Automated dust storm detection using satellite images. Development of a computer system for the detection of dust storms from MODIS satellite images and the creation of a new dust storm database (opens in a new tab)

  2. Evaluating different remote sensing techniques for detection of Saharan dust and characterisation of dust sources

    Mineral dust aerosols play an important role in climate and the Earth's energy budget. However, the nature and complexity of dust sources is poorly understood. Traditional techniques used for mapping the Sahara dust sources like the analysis of surface dust observations, back trajectory analysis of …

    kings Repository record for Evaluating different remote sensing techniques for detection of Saharan dust and characterisation of dust sources (opens in a new tab)