The Effect Of Spatial Resolution Upon Cloud Optical Property Retrievals Part I: Optical Thickness

R. Feind, S. Christopher, R. Welch
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引用次数: 1

Abstract

High spectral and spatial resolution Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) imagery is used to study the effects of spatial resolution upon fair weather cumulus cloud optical thickness retrievals. As a preprocessing step, a variation of the Gao and Goetz three-band ratio technique is used to discriminate clouds from the background. The combination of the elimination of cloud shadow pixels and using the first derivative of the histogram allows for accurate cloud edge discrimination. The data are progressively degraded from 20 m to 960 m spatial resolution. The results show that retrieved cloud area increases with decreasing spatial resolution. The results also show that there is a monotonic decrease in retrieved cloud optical thickness with decreasing spatial resolution. It is also demonstrated that the use of a single, monospectral reflectance threshold is inadequate for identifying cloud pixels in fair weather cumulus scenes and presumably in any inhomogeneous cloud field. Cloud edges have a distribution of reflectance thresholds. The incorrect identification of cloud edges significantly impacts the accurate retrieval of cloud optical thickness values.
空间分辨率对云光学特性检索的影响第一部分:光学厚度
利用高光谱和空间分辨率的机载可见/红外成像光谱仪(AVIRIS)图像,研究了空间分辨率对晴天积云光学厚度反演的影响。作为预处理步骤,使用Gao和Goetz三波段比技术的变化来区分云和背景。消除云阴影像素和使用直方图的一阶导数的组合允许准确的云边缘识别。数据空间分辨率从20米逐步退化到960米。结果表明,随着空间分辨率的降低,检索到的云面积增大。结果还表明,随着空间分辨率的降低,反演云光学厚度呈单调下降趋势。研究还表明,使用单一的单光谱反射阈值不足以在晴朗天气的积云场景中识别云像素,并且可能在任何不均匀的云场中。云的边缘具有反射阈值的分布。云边缘的错误识别严重影响云光学厚度值的准确检索。
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