Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions

The use of dense dark vegetation (DDV) for atmospheric aerosol correction of Landsat imagery is investigated for Australian conditions. Aerosol optical depth (AOD) measurements from sun photometers are used as a reference data set and compared against estimates ofAODderived from Landsat imagery usin...

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Published in:Remote Sensing Letters
Main Authors: Gillingham, S. S., Flood, N., Gill, T. K., Mitchell, R. M.
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis 2012
Subjects:
Online Access:https://espace.library.uq.edu.au/view/UQ:252949
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spelling ftunivqespace:oai:espace.library.uq.edu.au:UQ:252949 2023-05-15T13:06:02+02:00 Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions Gillingham, S. S. Flood, N. Gill, T. K. Mitchell, R. M. 2012-01-01 https://espace.library.uq.edu.au/view/UQ:252949 eng eng Taylor & Francis doi:10.1080/01431161.2010.533298 issn:2150-704X issn:2150-7058 Atmospheric correction Archive 1901 Earth and Planetary Sciences (miscellaneous) 2208 Electrical and Electronic Engineering Journal Article 2012 ftunivqespace https://doi.org/10.1080/01431161.2010.533298 2020-08-10T22:57:55Z The use of dense dark vegetation (DDV) for atmospheric aerosol correction of Landsat imagery is investigated for Australian conditions. Aerosol optical depth (AOD) measurements from sun photometers are used as a reference data set and compared against estimates ofAODderived from Landsat imagery using theDDV method. The DDV method makes assumptions that the vegetation is sufficiently dark and the ratio between bottom-of-atmosphere reflectances at different wavelengths is constant. These assumptions were tested using Landsat-5 Thematic Mapper (TM) imagery corrected with AOD measured by field-based sun photometers on the AErosol RObotic NETwork (AERONET) network. The assumptions were found to be correct only for one of the three locations studied. In other locations, the spatial and temporal variability of the vegetation and its relative brightness makes the method unsuitable. Article in Journal/Newspaper Aerosol Robotic Network The University of Queensland: UQ eSpace Remote Sensing Letters 3 1 67 76
institution Open Polar
collection The University of Queensland: UQ eSpace
op_collection_id ftunivqespace
language English
topic Atmospheric correction
Archive
1901 Earth and Planetary Sciences (miscellaneous)
2208 Electrical and Electronic Engineering
spellingShingle Atmospheric correction
Archive
1901 Earth and Planetary Sciences (miscellaneous)
2208 Electrical and Electronic Engineering
Gillingham, S. S.
Flood, N.
Gill, T. K.
Mitchell, R. M.
Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions
topic_facet Atmospheric correction
Archive
1901 Earth and Planetary Sciences (miscellaneous)
2208 Electrical and Electronic Engineering
description The use of dense dark vegetation (DDV) for atmospheric aerosol correction of Landsat imagery is investigated for Australian conditions. Aerosol optical depth (AOD) measurements from sun photometers are used as a reference data set and compared against estimates ofAODderived from Landsat imagery using theDDV method. The DDV method makes assumptions that the vegetation is sufficiently dark and the ratio between bottom-of-atmosphere reflectances at different wavelengths is constant. These assumptions were tested using Landsat-5 Thematic Mapper (TM) imagery corrected with AOD measured by field-based sun photometers on the AErosol RObotic NETwork (AERONET) network. The assumptions were found to be correct only for one of the three locations studied. In other locations, the spatial and temporal variability of the vegetation and its relative brightness makes the method unsuitable.
format Article in Journal/Newspaper
author Gillingham, S. S.
Flood, N.
Gill, T. K.
Mitchell, R. M.
author_facet Gillingham, S. S.
Flood, N.
Gill, T. K.
Mitchell, R. M.
author_sort Gillingham, S. S.
title Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions
title_short Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions
title_full Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions
title_fullStr Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions
title_full_unstemmed Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions
title_sort limitations of the dense dark vegetation method for aerosol retrieval under australian conditions
publisher Taylor & Francis
publishDate 2012
url https://espace.library.uq.edu.au/view/UQ:252949
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation doi:10.1080/01431161.2010.533298
issn:2150-704X
issn:2150-7058
op_doi https://doi.org/10.1080/01431161.2010.533298
container_title Remote Sensing Letters
container_volume 3
container_issue 1
container_start_page 67
op_container_end_page 76
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