An algorithm for remote sensing applications of air quality over land using Landsat TM7 has been developed. The algorithm was developed base on the aerosol characteristics in the atmosphere and the data from visible bands were employed. The surface reflectance values in the visible bands (red and blue), were retrieved using dark targets with reference to the mid-infrared band data at 2.1 micron. This algorithm was tested using a satellite Landsat TM7 data acquired on 6 March 2002. The in situ PM10 measurements were collected simultaneously with the acquisition of the satellite image. The atmospheric component reflectance and apparent temperature values were extracted corresponding to the ground-truth location and later used for algorithm regression analysis of the air quality. The measured and estimated particulates of size less than 10-micron (PM10) were highly correlated with linear correlation coefficient (R) of 0.9. Finally, a PM10 map over Penang was generated using the proposed algorithm. An average filter of window size 3 by 3 was used in this study to remove noise from the image. The image was then colour- coded for visual interpretation. This study indicates that the remote sensing data could be used for air quality mapping.

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