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Proceedings Paper

Cloud detection in Landsat imagery for Antarctic region using multispectral thresholds
Author(s): Zhenfeng Shao; Jihu Hou; Manman Jiang; Xiran Zhou
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Paper Abstract

Most of the Antarctic continent is covered with ice and snow. However, it’s hard to distinguish clouds from ice and snow in remote sensing images because they both have similar characteristics in visible reflectances and infrared brightness temperatures. Thus there exist great difficulties in determining the precise locations and distribution of clouds in remote sensing images. To solve this problem, a new method is proposed to identify clouds for Landsat imagery over the Antarctic region. Top of atmosphere reflectance and brightness temperature of Landsat imagery are used as inputs. Several spectral tests combining with morphological operations are employed to highlight clouds, especially thin clouds. The results show that the new method can not only greatly eliminate the effects of snow and ice, but also extract thin clouds effectively, and thus improve cloud detection accuracy over the Antarctic region.

Paper Details

Date Published: 8 November 2014
PDF: 9 pages
Proc. SPIE 9259, Remote Sensing of the Atmosphere, Clouds, and Precipitation V, 92590P (8 November 2014); doi: 10.1117/12.2070635
Show Author Affiliations
Zhenfeng Shao, Wuhan Univ. (China)
Jihu Hou, Wuhan Univ. (China)
Manman Jiang, Wuhan Univ. (China)
Xiran Zhou, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 9259:
Remote Sensing of the Atmosphere, Clouds, and Precipitation V
Eastwood Im; Song Yang; Peng Zhang, Editor(s)

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