A combined spectral and object-based approach to transparent cloud removal in an operational setting for Landsat ETM+
A combined spectral and object-based approach to transparent cloud removal in an operational setting for Landsat ETM+
The automated cloud cover assessment (ACCA) algorithm has provided automated estimates of cloud cover for the Landsat ETM+ mission since 2001. However, due to the lack of a band around 1.375 ?m, cloud edges and transparent clouds such as cirrus cannot be detected. Use of Landsat ETM+ imagery for terrestrial land analysis is further hampered by the relatively long revisit period due to a nadir only viewing sensor. In this study, the ACCA threshold parameters were altered to minimise omission errors in the cloud masks. Object-based analysis was used to reduce the commission errors from the extended cloud filters. The method resulted in the removal of optically thin cirrus cloud and cloud edges which are often missed by other methods in sub-tropical areas. Although not fully automated, the principles of the method developed here provide an opportunity for using otherwise sub-optimal or completely unusable Landsat ETM+ imagery for operational applications. Where specific images are required for particular research goals the method can be used to remove cloud and transparent cloud helping to reduce bias in subsequent land cover classifications
cloud, landsat ETM+, remote sensing, object-based analysis, ACCA
220-227
Watmough, Gary R.
6ed84a4f-0106-4665-b810-4fa71baefb8c
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Hutton, Craig W.
9102617b-caf7-4538-9414-c29e72f5fe2e
April 2011
Watmough, Gary R.
6ed84a4f-0106-4665-b810-4fa71baefb8c
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Hutton, Craig W.
9102617b-caf7-4538-9414-c29e72f5fe2e
Watmough, Gary R., Atkinson, Peter M. and Hutton, Craig W.
(2011)
A combined spectral and object-based approach to transparent cloud removal in an operational setting for Landsat ETM+.
International Journal of Applied Earth Observation and Geoinformation, 13 (2), .
(doi:10.1016/j.jag.2010.11.006).
Abstract
The automated cloud cover assessment (ACCA) algorithm has provided automated estimates of cloud cover for the Landsat ETM+ mission since 2001. However, due to the lack of a band around 1.375 ?m, cloud edges and transparent clouds such as cirrus cannot be detected. Use of Landsat ETM+ imagery for terrestrial land analysis is further hampered by the relatively long revisit period due to a nadir only viewing sensor. In this study, the ACCA threshold parameters were altered to minimise omission errors in the cloud masks. Object-based analysis was used to reduce the commission errors from the extended cloud filters. The method resulted in the removal of optically thin cirrus cloud and cloud edges which are often missed by other methods in sub-tropical areas. Although not fully automated, the principles of the method developed here provide an opportunity for using otherwise sub-optimal or completely unusable Landsat ETM+ imagery for operational applications. Where specific images are required for particular research goals the method can be used to remove cloud and transparent cloud helping to reduce bias in subsequent land cover classifications
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Published date: April 2011
Keywords:
cloud, landsat ETM+, remote sensing, object-based analysis, ACCA
Identifiers
Local EPrints ID: 177967
URI: http://eprints.soton.ac.uk/id/eprint/177967
ISSN: 0303-2434
PURE UUID: 76af5ea3-519f-41a8-993c-5262933680ad
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Date deposited: 23 Mar 2011 15:33
Last modified: 15 Mar 2024 02:47
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Author:
Gary R. Watmough
Author:
Peter M. Atkinson
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