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The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia

The recent August 2005 haze episode was not a new experience for Malaysia as this phenomenon has been occurring almost every year. History revealed that the worst haze episode took place during May-November 1997. On the 23rd September 1997, the Sarawak capital, Kuching was declared in the state of e...

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Main Authors:	Ahmad, Asmala, Hashim, Mazlan, Hashim, Md Noorazuan, Ayof, Mohd Nizam, Budi, Agus Setyo
Format:	Article
Language:	English
Published:	GIS development 2006
Subjects:	GE Environmental Sciences QC Physics
Online Access:	http://eprints.utm.my/id/eprint/2184/1/2006_GISdevelopment.pdf http://eprints.utm.my/id/eprint/2184/ http://www.gisdevelopment.net/application/environment/air/mm038pf.htm
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id	my.utm.2184
record_format	eprints
spelling	my.utm.21842010-06-01T03:01:34Z http://eprints.utm.my/id/eprint/2184/ The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia Ahmad, Asmala Hashim, Mazlan Hashim, Md Noorazuan Ayof, Mohd Nizam Budi, Agus Setyo GE Environmental Sciences QC Physics The recent August 2005 haze episode was not a new experience for Malaysia as this phenomenon has been occurring almost every year. History revealed that the worst haze episode took place during May-November 1997. On the 23rd September 1997, the Sarawak capital, Kuching was declared in the state of emergency as its Air pollution Index (API) reached 839. This was the highest API ever been recorded in Malaysia. This paper reports result of a study in order to compute API using satellite-based method. Seven dates of NOAA-14 AVHRR satellite recorded data were used, representing seven days during the September 1997 thick haze episode in Malaysia. Five locations of air pollution station were selected where major pollutants have been measured conventionally. Haze information was extracted from the satellite data using sky-lightãƒ»model. Relationship between the satellite recorded reflectance and the corresponding pollutant measurement was determined using regression analysis. Finally, accuracy of the result was assessed using RMSE technique. The result proven that satellite-based method using space-borne remote sensing data was capable of computing API spatially and continuously. GIS development 2006 Article NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2184/1/2006_GISdevelopment.pdf Ahmad, Asmala and Hashim, Mazlan and Hashim, Md Noorazuan and Ayof, Mohd Nizam and Budi, Agus Setyo (2006) The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia. GIS development . 5pp. http://www.gisdevelopment.net/application/environment/air/mm038pf.htm
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	GE Environmental Sciences QC Physics
spellingShingle	GE Environmental Sciences QC Physics Ahmad, Asmala Hashim, Mazlan Hashim, Md Noorazuan Ayof, Mohd Nizam Budi, Agus Setyo The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia
description	The recent August 2005 haze episode was not a new experience for Malaysia as this phenomenon has been occurring almost every year. History revealed that the worst haze episode took place during May-November 1997. On the 23rd September 1997, the Sarawak capital, Kuching was declared in the state of emergency as its Air pollution Index (API) reached 839. This was the highest API ever been recorded in Malaysia. This paper reports result of a study in order to compute API using satellite-based method. Seven dates of NOAA-14 AVHRR satellite recorded data were used, representing seven days during the September 1997 thick haze episode in Malaysia. Five locations of air pollution station were selected where major pollutants have been measured conventionally. Haze information was extracted from the satellite data using sky-lightãƒ»model. Relationship between the satellite recorded reflectance and the corresponding pollutant measurement was determined using regression analysis. Finally, accuracy of the result was assessed using RMSE technique. The result proven that satellite-based method using space-borne remote sensing data was capable of computing API spatially and continuously.
format	Article
author	Ahmad, Asmala Hashim, Mazlan Hashim, Md Noorazuan Ayof, Mohd Nizam Budi, Agus Setyo
author_facet	Ahmad, Asmala Hashim, Mazlan Hashim, Md Noorazuan Ayof, Mohd Nizam Budi, Agus Setyo
author_sort	Ahmad, Asmala
title	The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia
title_short	The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia
title_full	The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia
title_fullStr	The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia
title_full_unstemmed	The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia
title_sort	use of remote sensing and gis to estimate air quality index (aqi) over peninsular malaysia
publisher	GIS development
publishDate	2006
url	http://eprints.utm.my/id/eprint/2184/1/2006_GISdevelopment.pdf http://eprints.utm.my/id/eprint/2184/ http://www.gisdevelopment.net/application/environment/air/mm038pf.htm
_version_	1643643522240217088
score	13.211869

The Use of Remote Sensing and GIS to Estimate Air Quality Index (AQI) Over Peninsular Malaysia

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