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...
Published in: | Remote Sensing Letters |
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Language: | English |
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2012
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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 |
_version_ |
1766401141668577280 |