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 | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
Page view(s) 10
545
Last Week
0
0
Last month
2
2
checked on Dec 22, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License