A combined spectral and object-based approach to transparent cloud removal in an operational setting for Landsat ETM+

Watmough, Gary R. and 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). pp. 220-227. ISSN 0303-2434

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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 μm, 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.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Applied Earth Observation and Geoinformation
Additional Information:
M1 - 2
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2306
Subjects:
?? cloudlandsat etm+reote sensingobject-based analysisaccaglobal and planetary changeearth-surface processescomputers in earth sciencesmanagement, monitoring, policy and law ??
ID Code:
77081
Deposited By:
Deposited On:
15 Dec 2015 09:48
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 15:39