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中国城市微波发射率提取与特征分析
引用本文:张涛,张立新,蒋玲梅,李云青.中国城市微波发射率提取与特征分析[J].遥感学报,2012,16(6):1272-1288.
作者姓名:张涛  张立新  蒋玲梅  李云青
作者单位:遥感科学国家重点实验室北京师范大学,北京 100875;北京师范大学地理学与遥感科学学院,北京 100875;遥感科学国家重点实验室北京师范大学,北京 100875;北京师范大学地理学与遥感科学学院,北京 100875;遥感科学国家重点实验室北京师范大学,北京 100875;北京师范大学地理学与遥感科学学院,北京 100875;遥感科学国家重点实验室中国科学院遥感应用研究所,北京 100101;中国科学院研究生院,北京 100049
基金项目:国家自然科学基金(编号: 41030534,40971195) ;欧盟第七框架项目(编号: 212921)
摘    要:城市是陆表重要的覆盖类型之一,精确提取城市微波发射率、研究其辐射特征和影响因素有利于提高城市密集区被动微波遥感反演土壤水分的精度.利用2008 年AMSR-E(Advanced Microwave Scanning Radiometer for Earth Observing System)6.925 GHz 和10.65 GHz 双极化的时间序列亮温数据和其他多种辅助数据,在分析并去除无线电干扰的前提下,提取中国区域相对纯净城市像元的发射率,并分析其辐射特征的季节变化和影响因素.结果表明,根据本文方法提取得到的中国区域纯净城市像元有两个,分别位于北京和上海.城市亮温受到无线电干扰影响,一年内不同城市、波段、过境时间的卫星观测亮温受到的干扰强度不同.去除无线电干扰后,各通道的城市发射率在一年中变化不大,且卫星降轨观测时刻的发射率比升轨时刻更加稳定.降雨是影响城市发射率的重要因子,当降雨量达到一定程度后,城市发射率与降雨量呈现明显的负线性相关.

关 键 词:城市发射率  无线电干扰  辐射特征分析  降雨量  中国区域
收稿时间:2011/9/29 0:00:00
修稿时间:5/1/2012 12:00:00 AM

City microwave emissivity extraction and characteristic analysis in China
ZHANG Tao,ZHANG Lixin,JIANG Lingmei and LI Yunqing.City microwave emissivity extraction and characteristic analysis in China[J].Journal of Remote Sensing,2012,16(6):1272-1288.
Authors:ZHANG Tao  ZHANG Lixin  JIANG Lingmei and LI Yunqing
Institution:State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, China;School of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, China;School of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, China;School of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China;Graduate university of Chinese academy of sciences, Beijing 100049, China
Abstract:City is a very important land cover type on the earth, making understanding city microwave emissivity essential in improving soil moisture retrieval accuracy using passive microwave remote sensing data, especially in urbanized regions. In this paper, time series Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) data in 2008 and other auxiliary data were used to extract and analyze the characteristics of city emissivity in China. During the process, radio frequency interference (RFI) in each pixel was evaluated f irst and the effects were removed before emissivity calculation. Also we studied the characteristics and infl uencing factors of city emissivity during the year. The results show that with the extraction method, only two pure city pixels in China are found, which are Beijing and Shanghai, respectively. Satellite observed city brightness temperature can be affected by RFI, but its effects varied between cities, bands and sensor crossing time. After eliminating RFI, the city emissivity fl uctuated slightly in a year and was more stable in descending time than in ascending time. Rainfall played an important role in city emissivity variation. There was an obvious negative correlation relationship between city emissivity and rainfall when rainfall reached a certain value.
Keywords:city microwave emissivity  RFI  characteristic analysis  rainfall  China
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