Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor

The air quality indicator approximated by satellite measurements is known as atmospheric particulate loading, which is evaluated in terms of columnar optical thickness of aerosol scattering. The effect brought by particulate pollution has gained interest after recent evidence on health effects of sm...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdul Shukor, Norsyuhaimy
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Indoor air pollution Including indoor air quality
Online Access:	https://ir.uitm.edu.my/id/eprint/69371/1/69371.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.69371
record_format	uketd_dc
spelling	my-uitm-ir.693712023-03-27T07:33:01Z Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor 2010 Abdul Shukor, Norsyuhaimy Indoor air pollution. Including indoor air quality Aeronautics. Aeronautical engineering The air quality indicator approximated by satellite measurements is known as atmospheric particulate loading, which is evaluated in terms of columnar optical thickness of aerosol scattering. The effect brought by particulate pollution has gained interest after recent evidence on health effects of small particles. This study uses an empirical model, based on actual air quality of particulate matters of size less than 10 micron (PMIO) measurements from to predict PMIO based on optical properties of satellite digital imagery. The digital image was separated into three bands assigned as red, green and blue for multispectral algorithm regression. The digital numbers were extracted corresponding to the ground-truth locations for each band and then converted to radiance and reflectance values. The digital numbers of the three bands were converted into irradiance and then reflectance. The atmospheric reflectance value was extracted from the satellite observation reflectance values subtracted by the amount given by the surface reflectance. The atmospheric reflectance values were later used for PMIO mapping using the calibrated algorithm. The PMIO map was color-coded and geometrically corrected for visual interpretation. This study indicates that PMIO mapping can be carried out using remote sensing technique. 2010 Thesis https://ir.uitm.edu.my/id/eprint/69371/ https://ir.uitm.edu.my/id/eprint/69371/1/69371.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Hamzah, Norhayati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Hamzah, Norhayati
topic	Indoor air pollution Including indoor air quality Indoor air pollution Including indoor air quality
spellingShingle	Indoor air pollution Including indoor air quality Indoor air pollution Including indoor air quality Abdul Shukor, Norsyuhaimy Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor
description	The air quality indicator approximated by satellite measurements is known as atmospheric particulate loading, which is evaluated in terms of columnar optical thickness of aerosol scattering. The effect brought by particulate pollution has gained interest after recent evidence on health effects of small particles. This study uses an empirical model, based on actual air quality of particulate matters of size less than 10 micron (PMIO) measurements from to predict PMIO based on optical properties of satellite digital imagery. The digital image was separated into three bands assigned as red, green and blue for multispectral algorithm regression. The digital numbers were extracted corresponding to the ground-truth locations for each band and then converted to radiance and reflectance values. The digital numbers of the three bands were converted into irradiance and then reflectance. The atmospheric reflectance value was extracted from the satellite observation reflectance values subtracted by the amount given by the surface reflectance. The atmospheric reflectance values were later used for PMIO mapping using the calibrated algorithm. The PMIO map was color-coded and geometrically corrected for visual interpretation. This study indicates that PMIO mapping can be carried out using remote sensing technique.
format	Thesis
qualification_level	Bachelor degree
author	Abdul Shukor, Norsyuhaimy
author_facet	Abdul Shukor, Norsyuhaimy
author_sort	Abdul Shukor, Norsyuhaimy
title	Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor
title_short	Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor
title_full	Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor
title_fullStr	Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor
title_full_unstemmed	Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor
title_sort	comparative study on satellite base air monitoring system / norsyuhaimy abdul shukor
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/69371/1/69371.pdf
_version_	1783735871016534016

Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor

Similar Items