SMOKE DETECTION USING REMOTE SENSING TECHNIQUE
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 AVHRR satellite data were acquired in order to det,ermine and m...
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| Format: | Monograph |
| Published: |
Universiti Teknikal Malaysia Melaka
2005
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| Online Access: | http://eprints.utem.edu.my/210/ http://eprints.utem.edu.my/210/1/PJP_report_smoke_detection.pdf |
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| Summary: | 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
AVHRR satellite data were acquired in order to det,ermine and map PM 10 over
Malaysia. Five locations of air pollution station 'were chosen where PMlO was
measured. Initially, pre-processing tasks namely; atmospheric and geometric
co ection was implemented before further digital image processing job. Next, band 1
of the AVHRR sensor with wavelength ranging fiom 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 PMlO over Malaysia. The result indicates that
remote sensing technique using bands 1 of NOAA-14 AVHRR 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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