星载雨雷达测量的非均匀波束填充校正:热带太平洋舰载雷达数据的模拟研究

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.606369

T. Kozu, T. Iguchi

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引用次数: 0

摘要

利用热带太平洋上空的船载雷达资料，研究了星载雨雷达测量非均匀波束填充(NUBF)的校正方法。对降雨率的空间变异性进行了统计分析。结果反映在估计雷达IFOV的变异性中，然后用于获得NUBF校正因子。结果表明，该方法对减小雨率估计中的偏差误差是有效的。

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Non-uniform beam filling correction for spaceborne rain radar measurement: a simulation study using shipborne radar data over tropical Pacific

A method to correct spaceborne rain radar measurement for non-uniform beam filling (NUBF) is studied using a shipborne radar data set over the tropical Pacific. Statistical analyses are made on spatial variabilities of rain rate. The result is reflected in estimating the variability in a radar IFOV which is then used to obtain a NUBF correction factor. Results indicate the usefulness of this method for reducing bias error in rain rate estimation.

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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.