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

期刊介绍： Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.