Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1601
Title: The Assessment of Atmospheric Pollution using Satellite Remote Sensing Technology in Large Cities in the Vicinity of Airports
Authors: Clayton, Chris R I 
Retalis, Adrianos 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: ENGINEERING AND TECHNOLOGY
Keywords: Remote sensing;Invariant targets;Pseudo;Eutrophic waters;Dark targets;Bright targets;Atmospheric pollution;Aerosol optical thickness
Issue Date: Sep-2002
Source: Water, Air, & Soil Pollution: Focus, 2002, vol. 2, no. 5-6 , pp. 631-640
Volume: 2
Issue: 5-6
Start page: 631
End page: 640
Journal: Water, Air, & Soil Pollution: Focus 
Abstract: This paper investigates the potential of usingsatellite remotely sensed imagery for assessing atmosphericpollution. A novel approach, which comprised radiativetransfer calculations and pseudo-invariant targets fordetermining aerosol optical thickness has been developed.The key parameter for assessing atmospheric pollution inphotochemical air pollution studies is the aerosol opticalthickness. The need for identifying suitable pseudo-invariantobjects in satellite images of urban areas is of great interest for increasing the potential of earthobservation for monitoring air pollution in such areas. Theidentification of large water bodies and concrete apronsthat can serve as suitable dark and bright targetsrespectively in different geographical areas wasdemonstrated in this study. This study added evidence onthe correlation found between the visibility valuesmeasured at Heathrow Airport area during satellite overpassand aerosol optical thickness derived from Landsat-5 TMband 1 images.
URI: https://hdl.handle.net/20.500.14279/1601
ISSN: 15732940
DOI: 10.1023/A:1021305417004
Rights: © Springer
Type: Article
Affiliation: Frederick Institute of Technology 
Affiliation : University of Southampton 
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

Page view(s)

510
Last Week
1
Last month
25
checked on Apr 28, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons