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《Remote Sensing Technology and Application》 2012-06
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A Survey of Surface Temperature Retrieval by Passive Microwave Remote Sensing

Liu Jing1,2,Ma Hongzhang3,Yang Le1,Liu Qinhuo1(1.State Key Lab of Remote Sensing Science Institute of Remote Sensing Applications, Chinese Academy of Science,Beijing 100101,China;2.University of Chinese Academy of Sciences,Beijing 100049,China;3.China University of Petroleum,Dongying 266555,China)  
Many achievements have been presented for retrieving land surface temperature(LST) from thermal infrared satellite sensor data.The accuracy of retrieval results can reach 1K or less.But thermal infrared remote sensing is so strictly influenced by cloud that it can do nothing in cloudy weather.However,microwave remote sensing is influenced slightly by cloud and atmosphere.Passive microwave emission can penetrate non-precipitating clouds,thereby provides a better representation of LST under nearly sky conditions.It is also multi-polarized.Passive microwave remote sensing holds a unique advantage in retrieving LST.Retrieving LST from passive microwave satellite sensor data has become one of the most important problems in passive microwave remote sensing.This paper introduces radiance transfer equation and model in retrieving LST from passive microwave,parameterized forward model and main algorithms of retrieving LST from passive microwave,including statistical algorithms and physical mechanism algorithms.Lastly,the weakness and difficulties for retrieving LST from passive microwave at the present study stage are analyzed.It may be very helpful to the future researches related to temperature based on microware remote sensing.
【Fund】: 国家自然科学基金重点项目“光学与微波遥感的模型协同及联合反演研究”(40730525)资助
【CateGory Index】: TP722.6;P407
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 PENG Dan-qing1,LI Jing1,ZHAO Tian-jie2,ZHANG Li-xin2(1.Academy of Disaster Reduction and Emergency Management,the Ministry of Civil Affairs and the Ministry of Education,Beijing 100875,China;2.State Key Laboratory for Remote Sensing Science,Beijing Normal University and Institute ofRemote Sensing Applications of Chinese Academy of Sciences,Beijing 100875,China;3.College Institute ofResources Science and Technology,Beijing Normal University,Beijing 100875,China);Land Surface Temperature Retrieved from Passive Microwave Data over Cold and Arid Regions[J];Journal of Glaciology and Geocryology;2009-02
2 ZHANG Jun1,QIN Zhi-hao1,2,LIU Mei1,TU Li-li1,ZHOU Yi1,YANG Qiang1(1.International Institute for Earth System Science,Nanjing University,Nanjing 210093; 2.Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China);Estimating of Land Surface Temperature under the Cloud Cover with Spatial Interpolation[J];Geography and Geo-Information Science;2011-06
3 CHEN Xiuzhi1,2,3,CHEN Shuisen1,2,LI Dan1,2,3,SU Yongxian1,2,3,ZHONG Ruofei4(1.Guangzhou Institute of Geography,Guangzhou 510070,China;2.Guangzhou Institute of Geochemistry,CAS,Guangzhou 510640,China;3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;4.Capital Normal University,Beijing 100038,China);Progress in Land Surface Temperature Retrieval from Passive Microwave Remote Sensing Data[J];Advances in Earth Science;2010-08
4 Mao Kebiao~(* ** ****) Wang Daolong~* Li Zirui~* Zhang Lixin~(***) Zhou Qingbo~* Tang Huajun~* Li Dandan~*(* Key Laboratory of Resources Remote Sensing and Digital Agriculture, Ministry of Agriculture, the People' s Republic of China, Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081 )(** State Key Laboratory of Remote Sensing Science, Beijing, 100101 )( *** School of Geography, Beijing Normal Universtiy, Beijing 100875)(**** Key Laboratory of Regional Climate-Environment Research for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029);A neural network method for retrieving land-surface temperature from AMSR-E data[J];Chinese High Technology Letters;2009-11
5 WU Ying1,2,WANG Zhen-hui1,2(1.Key Laboratory of Meteorological Disaster of Ministry of Education,Nanjing University of Information Science and Technology, Nanjing 210044,China;2.School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing 210044,China);Advances in the Study of Land Surface Emissivity Retrieval from Passive Microwave Remote Sensing[J];Remote Sensing for Land & Resources;2012-04
6 ZHENG You-fei1,XU Fang1,ZHAN Xi-wu2,GUAN Fu-lai3,4,YANG Bin-yun3,4,WU Rong-jun1(1.School of Environmental Science and Engineering,NUIST,Nanjing 210044,China;2.NOAA NESDIS Center for Satellite Applications and Research,USA 20746;3.Ecological Environment Monitoring Laboratory of Hebei Province,Shijiazhuang 050021,China;4.Institute of Hebei Province Meteorological Science,Shijiazhuang 050021,China);Drought Indices from Passive Microwave Remote Sensing AMSR-E Data[J];Journal of Nanjing Institute of Meteorology;2009-02
7 CHEN Ailian1,2,SUN Ranhao1,*,CHEN Liding1 1 State Key Laboratory of Urban Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China 2 Graduate School of Chinese Academy of Sciences,Beijing 100049,China;Studies on urban heat island from a landscape pattern view: a review[J];Acta Ecologica Sinica;2012-14
8 CHEN Xiuzhi 1, 2,3,4 ,LI Yong 2* ,HAN Liusheng 2,3,4 ,SU Yongxian 2,3,4 ,CHEN Shuisen 2 (1. CMA-Henan Key Laboratory of Agrometeorological Support and Applied Technique,Henan 450003,China;2. Guangzhou Institute of Geography, Guangzhou 510070,China;3. Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China; 4. University of Chinese Academy of Sciences,CAS,Beijing 100049,China);Semi-empirical Model for Retrieving Land Surface Temperature Based on AMSR-E Data[J];Tropical Geography;2013-03
9 Chen Xiuzhi1,2,3,4,5,Chen Shuisen3,Su Yongxian1,3,4, Li Dan1,3,4,Han Liusheng1,3,4(1.Guangzhou Institute of Geochemistry,CAS,Guangzhou 510640,China; 2.CMA/Henan Key Laboratory of Agrometeorological Support and Applied Technique, Zhengzhou 450003,China;3.Guangzhou Institute of Geography,Guangzhou 510070,China; 4.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;5.Digital Land Key Laboratory of Jiangxi Province,East China Institute of Technology,Fuzhou 344000,China);Study on the Low Temperature and Chilling Injuries of Typical Crops Using Passive Microwave Remote Sensing in Guangdong Province during Snow Disaster of 2008[J];Remote Sensing Technology and Application;2012-03
10 CHEN Xiu-zhi①,②,③,④,CHEN Shui-sen①,SU Yong-xian①,③,④,CHEN Yan-qiao①,LI Dan①,③,④(① Guangzhou Institute of Geography,Guangzhou 510070; ② East China Institute of Technology,Jiangxi Province Key Lab for Digital Land,Wushun 34400; ③ Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640; ④ Graduate University of Chinese Academy of Sciences,Beijing 100049);Retrieving Land Surface Temperature from AMSR-E Remote Sensing Data——A Case Study over Guangdong During Spring Cold Disaster in 2008[J];Remote Sensing Information;2011-05
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