Daily Distribution Maps of Carbon Monoxide Over Peninsular Malaysia
The objective of this study is to test three interpolation techniques namely, Kriging Interpolation, Inverse Distance Interpolation and Natural Neighbour Interpolation for Carbon dioxide (CO) mapping over Penang. The CO data were obtained from Atmospheric Infrared Sounder (AIRS) onboard NASA’s Aqua satellite. In this study, CO measurements were collected from 25 ground-based stations over Penang Island, Malaysia. Kriging interpolation technique produced the highest accuracy based on the R and RMS value in this study. In this study, land use map of the Peninsular Malaysia was conducted by using National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) data. The NOAA-AVHRR image of 2006 were processed and analyzed geometrically corrected (registered) to obtain more detailed information and identify the change. The standard supervised classifier was performed to the satellite images such as the Maximum Likelihood, Minimum Distance-to-mean and Parallelepiped. High overall accuracy (>85%) and Kappa coefficient (>0.9) was achieved by the Maximum Likelihood classifier in this study. An empirical relationship between the distribution of the CO and land cover was established with high correlation coefficient (R) and low root-mean-square-error (RMS) values. We concluded that the Kriging interpolation technique accurately and precisely mapped CO concentration from AIRS data over Penang Island, Malaysia.
Keywords: CO, AIRS, Climate Change
Dr. Mohd. Zubir Mat Jafri
Lecturer, School of Physics, Universiti Sains Malaysia
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Ref: C09P0059