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首页> 外文期刊>Journal of Applied Meteorology >Estimation of Cirrus and Stratus Cloud Heights Using Landsat Imagery
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Estimation of Cirrus and Stratus Cloud Heights Using Landsat Imagery

机译:利用Landsat影像估算卷云和层云高度

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摘要

A new method based upon high-spatial-resolution imagery is presented that matches cloud and shadow regions to estimate cirrus and stratus cloud heights. The distance between the cloud and the matching shadow pattern is accomplished using the 2D cross-correlation function from which the cloud height is derived. The distance between the matching cloud-shadow patterns is verified manually. The derived heights also are validated through comparison with a temperature-based retrieval of cloud height. It isalso demonstrated that an estimate of cloud thickness can be retrieved if both the sunside and antisunside of the cloud-shadow pair are apparent. The technique requires some intepretation to determine the cloud height level retrieved (i.e., the top. base, or mid-level). It is concluded that the method is accurate to within several pixels, equivalent to cloud height variations of about ±250 m. The results show that precise placement of the templates is unnecessary, so that the development of a semiautomated procedure is possible. Cloud templates of about 64 pixels on a side or larger produce consistent results. The procedure was repeated for imagery degraded to simulate lower spatial resolutions. The results suggest that spatial resolution of 159-200m or better is necessary in order to obtain stable cloud height retrievals.
机译:提出了一种基于高空间分辨率图像的新方法,该方法匹配云和阴影区域以估计卷云和层云的高度。云和匹配阴影图案之间的距离是使用2D互相关函数完成的,从该函数可以得出云的高度。手动验证匹配的云阴影图案之间的距离。通过与基于温度的云层高度检索进行比较,也可以验证得出的高度。还证明了,如果云影对的日照和反日照都明显,则可以获取对云厚度的估计。该技术需要一定的解释才能确定检索到的云的高度级别(即最高,最低或中等)。结论是该方法精确到几个像素以内,相当于云的高度变化约为±250 m。结果表明,模板的精确放置是不必要的,因此可以开发半自动化过程。侧面约有64个像素或更大的云模板可产生一致的结果。对降级的图像重复该过程,以模拟较低的空间分辨率。结果表明,为了获得稳定的云层高度反演,必须有159-200m或更高的空间分辨率。

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