Landsat 7 automatic cloud cover assessment

被引:192
作者
Irish, RR [1 ]
机构
[1] NASA, Goddard Space Flight Ctr, Sci Syst & Applicat Inc, Greenbelt, MD USA
来源
ALGORITHMS FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY VI | 2000年 / 4049卷
关键词
landsat; ETM; clouds; classification; ACCA; algorithm;
D O I
10.1117/12.410358
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
An automatic cloud cover assessment algorithm was developed for the Landsat 7 ground system. A scene dependent approach that employs two passes through ETM+ data was developed. In pass one, the reflective and thermal properties of scene features are used to establish the presence or absence of clouds in a scene. If present, a scene-specific thermal profile for clouds is established. In pass two, a unique thermal signature for clouds is developed and used to identify the remaining clouds in a scene. The algorithm appears to be a good cloud discriminator for most areas of the Earth. Some difficulty has appeared in imagery over Antarctica, and snow at high illumination angles is occasionally mistaken for cloud.
引用
收藏
页码:348 / 355
页数:8
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