向外反射和散射太阳辐射在紫外和可见光谱范围内的信息含量

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.609135

Y. Timofeyev, A. Vasilyev, V. Rozanov

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引用次数: 0

摘要

在gomtran辐射码的基础上，计算了240 ~ 700 nm光谱范围内出射辐射的光谱协方差矩阵。它提供了检验在不同测量设计(各种测量几何形状和误差;不同条件下的太阳光照和地表反照率)，并估计最佳的测量通道数。在0.1 ~ 1.0%的测量误差范围内，大气臭氧和NO/sub 2/的独立可测参数分别为8 ~ 11个和1 ~ 2个;6-12和5-8，分别描述气溶胶光学特性和大气密度。

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Information content of outgoing reflected and scattering solar radiation in UV and visible spectral ranges

On the basis of the GOMETRAN radiative code, calculations of spectral covariance matrices of outgoing radiation in the 240-700 nm spectral range have been performed. It gave a possibility to examine the information content of measurement data simulated at different measurement designs (various measurement geometry and errors; different conditions of Sun illumination and surface albedo) and to estimate the optimal number of measurement channels. The numbers of independently measurable parameters at measurement errors ranging from 0.1 to 1.0% are 8-11, 1-2 for atmospheric content of the ozone and NO/sub 2/, respectively; 6-12 and 5-8, describing the aerosol optical characteristics and atmospheric density, respectively.

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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.