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Retrieval of Air Quality using a newly Simulated Algorithm from Aerosol Optical Depth
H. S. Lim, M. Z. MatJafri and K. Abdullah
School of Physics,
University of Science Malaysia,
11800 Penang, Malaysia
Tel: +604-6533888, Fax: +604-6579150
E-mail: mjafri@usm.my, khirudd@usm.my
Abstract
A new aerosol retrieval algorithm is presented which computes the air quality at University Sains Malaysia (USM). The algorithm used in this study was derived from the characteristic of the atmospheric effect on remote sensing and applied to the digital camera data. The air quality tested in this study was PM10. The digital images were captured using a normal digital camera, Kodak DC 290 with three visible bands. The digital images were separated into three bands namely red, green and blue bands for multispectral algorithm calibration. Algorithm calibration was performed by using the data provided by Alam Sekitar Sdn. Bhd. (ASMA) acquired simultaneously with digital images. A normalization technique was carried out in this study to ensure the combination of multitemporal data. The acquired PM10 data set was separated randomly into two groups, one was used for algorithm calibration and another one was used for algorithm verification analysis. A high value of correlation was obtained between the retrieved reflectance values and PM10 measurements. This suggests that the application of the generated algorithm on digital camera imagery data is feasible.
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