8 November 2014 Cloud detection in Landsat imagery for Antarctic region using multispectral thresholds
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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.
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Zhenfeng Shao, Jihu Hou, Manman Jiang, Xiran Zhou, "Cloud detection in Landsat imagery for Antarctic region using multispectral thresholds", Proc. SPIE 9259, Remote Sensing of the Atmosphere, Clouds, and Precipitation V, 92590P (8 November 2014); doi: 10.1117/12.2070635; https://doi.org/10.1117/12.2070635
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