PM10 Cnecentration Measurement From Internet Protocol Camera

C. J. Wong

Universiti Sains Malaysia,
Malaysia
Email: wongcj@usm.my


H. S. Lim

Universiti Sains Malaysia
Email: hslim111@yahoo.com.sg

M. Z. MatJafri

Universiti Sains Malaysia
Email: mjafri@usm.my

K. Abdullah

Universiti Sains Malaysia
Email: khirudd@usm.my


This study presents a methodology for mapping particulate matter having a diameter less than 10- micron meter (PM10) using remote sensing technique. The data used in this study was captured using an internet protocol (IP) camera digital camera. This study provided information on air quality over USM campus area. In situ data were measured simultaneously with the acquisition of IP camera data for algorithm regression analysis. The digital image was separated into three bands assigned as red, green and blue for multispectral algorithm regression. The digital numbers were extracted corresponding to the ground-truth locations for each band and then converted to radiance and reflectance values. The atmospheric reflectance values was extracted from the satellite observation reflectance values subtrated by the amount given by the surface reflectance. The atmospheric reflectance values were later used for PM10 mapping using the calibrated algorithm. The algorithm produced a high correlation coefficient, R and low root-mean-square error, RMS, between the measured and estimated air quality measurements. The preliminary results demonstrated that the IP digital camera imageries can be use for air quality studies.