Smoke Detection Using Remote Sensing Technique

Asmala, Ahmad and Mohamad Nizam, Ayof and Agus Setyo, Budi and Hamzah, Sakidin and Sharifah Sakinah, Syed Ahmad (2006) Smoke Detection Using Remote Sensing Technique. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Particulate Matter sizing less than 10 micrometers or widely known as PM 10 is one of the major constituents of the thick smoke haze phenomenon, which occurred in Malaysia during September 1997. In this study, seven scenes of NOAA-14 A VHRR satellite data were acquired in order to determine and map PM I 0 over Malaysia. Five locations of air pollution station were chosen where PMIO was measured. Initially, pre-processing tasks namely; atmospheric and geometric correction was implemented before further digital image processing job. Next, band I of the A VHRR sensor with wavelength ranging from 0.58 to 0.68 micrometers were calibrated to compensate for post-launch sensor degradation. Cloud separation was then carried using visual and thresholding technique. Relationship between the satellite reflectance and the corresponding PM 10 AQI (Air Quality Index) at the selected stations was established using linear regression model. The model was then used to map the concentration of PMIO over Malaysia. The result indicates that remote sensing technique using bands 1 of NOAA- 14 A VHRR data was capable to determine PM 10 concentration quantitatively and spatially in continuous manner.Finally, accuracy was assessed using Root-mean-square error technique.

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