Development Of Multispectral Algorithm And Remote Sensing Technique For Air Quality Measurements Over Makkah Mina And Arafah

Loading...
Thumbnail Image
Date
2011-01
Authors
Othman, Nadzri
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
The air quality indicator approximated by satellite measurements is known as an atmospheric particulate loading, which is evaluated in terms of the columnar optical thickness of aerosol scattering. the effect brought by particulate matter, this study presents the potentiality of retrieving concentrations of particles with diameters less than ten micrometre (PM10) and aerosol optical thickness (AOT) in the atmosphere using the Landsat 7 ETM+ satellite imageries over Makkah, Mina and arafah. A multispectral algorithm was developed by assuming that surface condition of the study area was lambertain and homogeneous. It also neglected atmospheric effect due to Rayleigh scattering. PM10 in situ measurements was collected using DustTrak aerosol monitor 8520, while AOT data was measured using FieldSpec handheld spectroradiometer and their locations were determined by a handheld global positioning system (GPS). The Beer Lambert law was used to calculate AOT from transmittance of atmospheric measured using the FieldSpec handheld spectroradiometer. The digital number (DN) recorded by satellite imageries were converted to top of the atmosphere (TOA) reflectance.
Description
Keywords
Development of multispectral algorithm and remote sensing technique , for air quality measurements over Makkah Mina and Arafah
Citation