Share Email Print

Proceedings Paper

Application of THEOS for PM10 mapping over Penang Island, Malaysia
Author(s): H. S. Lim; M. Z. MatJafri; K. Abdullah
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We had explored the relationship between particulate matters of size less than 10 micron (PM10) derived from the THEOS using regression technique over Penang Island, Malaysia. The objective of this study was to evaluate the high spatial resolution satellite data for air quality mapping. The development of the algorithm was based on the optical aerosol characteristic in the atmosphere. PM10 measurements were collected simultaneously with the image acquisition using a DustTrak Aerosol Monitor 8520. The station locations of the PM10 measurements were determined using a handheld GPS. The retrieval of surface reflectance is important to obtain the atmospheric reflectance in remotely sensed data and later used for algorithm calibration. In this study, ACTOR3 was used to retrieve the surface reflectance values from remotely sensed data. The surface reflectance values for the visible wavelengths of THEOS data was determined based on the Landsat TM data that acquired same date, nearly same time with the THEOS data. The relationship between the image reflectance values and the corresponding air quality data was determined using regression analysis. Various forms of algorithms were tested and their accuracies were noted. The algorithm that produced the highest correlation coefficient (R) and lowest root-mean-square error (RMS) was used for further analysis. Results show that the digital camera imageries can be used for estimating PM10 accurately. This study shows the potential of using the THEOS data for air quality mapping.

Paper Details

Date Published: 13 November 2010
PDF: 9 pages
Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 78570F (13 November 2010); doi: 10.1117/12.869597
Show Author Affiliations
H. S. Lim, Univ. Sains Malaysia (Malaysia)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)
K. Abdullah, Univ. Sains Malaysia (Malaysia)

Published in SPIE Proceedings Vol. 7857:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III
Allen M. Larar; Hyo-Sang Chung; Makoto Suzuki, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?