首页> 外文会议>International symposium on remote sensingISRS >CHARACTERISTICS AND CAUSES OF SUSPENDED PARTICULATE MATTER SPECKLES OF THE GEOSTATIONARY OCEAN COLOR IMAGER AND A REMOVAL METHOD
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CHARACTERISTICS AND CAUSES OF SUSPENDED PARTICULATE MATTER SPECKLES OF THE GEOSTATIONARY OCEAN COLOR IMAGER AND A REMOVAL METHOD

机译:地球静止海洋彩色成像仪悬浮颗粒物质斑点的特点及原因及去除方法

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Speckles in the suspended particulate matter (SPM) data of the Geostationary Ocean Color Imager (GOCI) were spatiotemporally analyzed. The speckles were classified into four types based on their appearance: isolated speckle, speckle near cloud, patch-type speckle, and slot-related speckle. The spectral characteristics of the speckles were analyzed. We developed a speckle removal procedure and applied it to GOCI level 2 SPM data from 2011 to 2016. The speckle removal improved the quality of the GOCI SPM data. We conclude that the speckles were generated by the unmasked clouds edge, water vapor, and small clouds that move during the spectral scanning sequences.
机译:悬浮颗粒物质(SPM)的斑点在地静止海洋彩色成像仪(GOCI)的数据瞬间分析。斑点根据其外观分为四种类型:孤立的斑点,云,散斑,斑点斑点和插槽相关的斑点。分析了斑点的光谱特性。我们开发了一个散斑清除过程,并从2011年到2016年应用于Goci 2级SPM数据。散斑拆除改善了Goci SPM数据的质量。我们得出结论,斑点是由未掩蔽的云边缘,水蒸气和在光谱扫描序列期间移动的小云产生的斑点。

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