DocumentCode
2002919
Title
Air quality parameters dependency of remotely-sensed albedo
Author
Salleh, Siti Aekbal ; Mohd, W.M.N.W. ; Mohd, Wan Mohd Naim Wan ; Chan, Andy
Author_Institution
Dept. of Surveying Sci. & Geomatics, Univ. Teknol. MARA, Shah Alam, Malaysia
fYear
2012
fDate
23-25 March 2012
Firstpage
373
Lastpage
377
Abstract
Land surface albedo has large daily and seasonal variation in many regions. Malaysia, for being located at the tropical region, experiencing constant illumination of sun and receiving two monsoon seasons namely northeast and southwest and two inter-monsoon seasons in Mar-May and during Oct-Nov, the diurnal variation of heat may somewhat be different. This study attempts to investigate the relationship between land surface albedo (LSA) derived from the MODIS with the selected air quality parameters. The objectives includes to determine significance relationship between LSA with ambient temperature and to identify the significance factor of other identified variables such as UVB, windspeed, Humidity and CO2. Using linear trend correlation analyses technique based on Pearson correlation coefficient, the strength and direction of the relationships between MODIS spectrally derived LSA are identified along with the relationship between selected dependent and independent variables were visually inspected.
Keywords
air pollution measurement; atmospheric temperature; radiometry; remote sensing; MODIS; Malaysia; Pearson correlation coefficient; air quality parameters; ambient temperature; heat diurnal variation; inter-monsoon seasons; land surface albedo; linear trend correlation analyses technique; remotely-sensed albedo; seasonal variation; sun constant illumination; tropical region; Humidity; Land surface; Land surface temperature; MODIS; Ocean temperature; Sea surface; air quality; albedo; climate change; remote sensing; temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on
Conference_Location
Melaka
Print_ISBN
978-1-4673-0960-8
Type
conf
DOI
10.1109/CSPA.2012.6194752
Filename
6194752
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