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Retrieving visibility values using satellite remote sensing

Retrieving visibility values using satellite remote sensing
Retrieving visibility values using satellite remote sensing
The recent development of satellite meteorology has allowed us to estimate spatially and frequently number of basic meteorological parameters. This paper presents the proposed methodology for retrieving visibility values based on the application of the darkest pixel atmospheric correction algorithm on satellite image data. The method is based on the use of the radiative transfer calculations followed by some key assumptions. Landsat-5 TM band 1 images (0.45–0.52 ?m) have been used to determine the visibility value for each image date. A direct comparison between the measured visibility data from the airport meteorological stations with the determined visibility data was performed showing high correlation values. Indeed, by relating the determined visibility data with those measured on the Heathrow Airport station in the West London (UK), a correlation coefficient of r2 = 0.97 has been found with the observed significance for the regression model to be less than 0.05, for four multi-temporal images acquired on 1985 and 1986. The algorithm has been tested also to Landsat TM images of the Paphos Airport area in Cyprus with satisfactory agreement between the visibilities measured at the meteorological station and those found from the images. The algorithm presented may be useful for assessing the atmospheric conditions of satellite images and also can assist the improvement and effectiveness of the available atmospheric correction algorithms.

visibility, aerosol optical thickness, satellite remote sensing, darkest pixel, atmospheric correction
1474-7065
121-124
Hadjimitsis, Diofantos G.
0b260f3e-dc51-4436-b919-313bc45a1447
Clayton, Chris
8397d691-b35b-4d3f-a6d8-40678f233869
Toulios, Leonidas
1fad11ad-797d-4257-880e-4713479cb99f
Hadjimitsis, Diofantos G.
0b260f3e-dc51-4436-b919-313bc45a1447
Clayton, Chris
8397d691-b35b-4d3f-a6d8-40678f233869
Toulios, Leonidas
1fad11ad-797d-4257-880e-4713479cb99f

Hadjimitsis, Diofantos G., Clayton, Chris and Toulios, Leonidas (2010) Retrieving visibility values using satellite remote sensing. Physics and Chemistry of the Earth, Parts A, B and C, 35 (1-2), 121-124. (doi:10.1016/j.pce.2010.03.002).

Record type: Article

Abstract

The recent development of satellite meteorology has allowed us to estimate spatially and frequently number of basic meteorological parameters. This paper presents the proposed methodology for retrieving visibility values based on the application of the darkest pixel atmospheric correction algorithm on satellite image data. The method is based on the use of the radiative transfer calculations followed by some key assumptions. Landsat-5 TM band 1 images (0.45–0.52 ?m) have been used to determine the visibility value for each image date. A direct comparison between the measured visibility data from the airport meteorological stations with the determined visibility data was performed showing high correlation values. Indeed, by relating the determined visibility data with those measured on the Heathrow Airport station in the West London (UK), a correlation coefficient of r2 = 0.97 has been found with the observed significance for the regression model to be less than 0.05, for four multi-temporal images acquired on 1985 and 1986. The algorithm has been tested also to Landsat TM images of the Paphos Airport area in Cyprus with satisfactory agreement between the visibilities measured at the meteorological station and those found from the images. The algorithm presented may be useful for assessing the atmospheric conditions of satellite images and also can assist the improvement and effectiveness of the available atmospheric correction algorithms.

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More information

Published date: 2010
Keywords: visibility, aerosol optical thickness, satellite remote sensing, darkest pixel, atmospheric correction

Identifiers

Local EPrints ID: 186363
URI: http://eprints.soton.ac.uk/id/eprint/186363
ISSN: 1474-7065
PURE UUID: 76308b92-c6db-4a97-b00a-b6fbae89b04d
ORCID for Chris Clayton: ORCID iD orcid.org/0000-0003-0071-8437

Catalogue record

Date deposited: 13 May 2011 09:10
Last modified: 15 Mar 2024 03:04

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Contributors

Author: Diofantos G. Hadjimitsis
Author: Chris Clayton ORCID iD
Author: Leonidas Toulios

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