基于GOME光谱的气溶胶光学厚度反演

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.609136

A. Bartoloni, M. Mochi, C. Serafini, M. Cervino, R. Guzzi, P. Torricella

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引用次数: 3

摘要

研制了一种基于GOME数据的气溶胶光学厚度检索和气溶胶分类的原型处理器。在不同气溶胶类别的最小二乘残差中选择最小值进行气溶胶分类。对于每个像素，处理器的输出给出了气溶胶光学厚度、气溶胶分类、相对检索残差和一个指示像素是否浑浊的标志。给出了一些不同的国美实际数据集的结果。

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The aerosol optical thickness retrieval from GOME spectra

A prototype processor for the aerosol optical thickness retrieval and aerosol classification starting from GOME data has been developed. The aerosol classification is made choosing the minimum among the least squares residuals computed for different aerosol classes. For each pixel the output of processor gives the aerosol optical thickness, the aerosol classification, a relative retrieval residual and a flag that indicates if the pixel is cloudy. The results of some different GOME real data sets are shown.

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来源期刊

遥感信息

自引率

0.00%

发文量

3984

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