Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond Committee on Earth Science and Applications from Space: A Community Assessment and Strategy for the Future, National Research Council ISBN: 0-309-66714-3, 456 pages, 8 1/2 x 11, (2007) The National Academy of Sciences is a private, nonprofit, self-perpetuating society of distinguished scholars engaged in scientific and engineering research, dedicated to the furtherance of science and technology and to their use for the general welfare. Upon the authority of the charter granted to it by the Congress in 1863, the Academy has a mandate that requires it to advise the federal government on scientific and technical matters. The National Academy of Engineering was established in 1964, under the charter of the National Academy of Sciences, as a parallel organization of outstanding engineers. It is autonomous in its administration and in the selection of its members, sharing with the National Academy of Sciences the responsibility for advising the federal government. The National Academy of Engineering also sponsors engineering programs aimed at meeting national needs, encourages education and research, and recognizes the superior achievements of engineers. The Institute of Medicine was established in 1970 by the National Academy of Sciences to secure the services of eminent members of appropriate professions in the examination of policy matters pertaining to the health of the public. The Institute acts under the responsibility given to the National Academy of Sciences by its congressional charter to be an adviser to the federal government and, upon its own initiative, to identify issues of medical care, research, and education. The National Research Council was organized by the National Academy of Sciences in 1916 to associate the broad community of science and technology with the Academys purposes of furthering knowledge and advising the federal government. Functioning in accordance with general policies determined by the Academy, the Council has become the principal operating agency of both the National Academy of Sciences and the National Academy of Engineering in providing services to the government, the public, and the scientific and engineering communities. The Council is administered jointly by both Academies and the Institute of Medicine. Limited copies of these reports are available free of charge from: Space Studies Board National Research Council The Keck Center of the National Academies 500 Fifth Street, N.W., Washington, DC 20001 (202) 334-3477/ssb@nas.edu www.nationalacademies.org/ssb/ssb.html 地球科学和空间应用 今后10年的国家需求 序 地球各圈层：内部、地表、生物圈、大气圈、和海洋，发生着天然或人致的种种变化，全方位影响着生命。理解这些变化及其影响，需要一个天、空、地、海一体化的观测数据基础，从而才能生产可靠的数据产品，各种预测模型，及其它工具来防止靠拍脑袋决策。 。。。。。。 在2004年经Woods Hole会议的深入讨论之后，决定组成编委会，指导7个编写组，分别着重以下主题： 1。地球科学应用及其社会效益； 2。土地利用变化，生态系统动态，和生物多样性； 3。天气（含空间天气和化学天气）； 4。气候可变性及变化； 5．水资源和全球水循环； 6．人类健康与安全； 7。固体地球灾害，资源，及动态。 。。。。。。
A Method for Retrieving Soil Moisture in Tibet Region By Utilizing Microwave Index from TRMM/TMI Data Kebiao Mao , Tang Hua Jun, Zhang Li Xin, Li Man Chun, Guo Ying, Zhao Dengzhong., According to simulation analysis of the advanced integral equation model (AIEM), there is a good linear relationship between emissivity and soil moisture under conditions of given roughness. The normalized difference of emissivities at 19.35GHz and 10.65GHz with vertical polarization can partly eliminate the influence of roughness and the squared correlation coefficient is about 0.985. This paper uses the normalized brightness temperature for retrieving soil moisture in Tibet from TRMM/TMI data. This method avoids parametrizing the land surface temperature which is a key parameter for the computation of emissivity. We make some sensitivity analysis for the atmosphere which is the main influence factor for our method. The analysis results indicate that our method is very good for clear days but is not very good when there is rainfall. We evaluate our algorithm by using the ground truth data obtained from GAME Tibet and the retrieval error of soil moisture is about 0.04m3 m-3 relative to experimental data. The analysis indicates that the relationship obtained from the theoretical model should be revised through the local ground measurement data because the method is still influenced by roughness and vegetation. After making a regression revision, the retrieval error of soil moisture is under 0.02m3 m 2 3. Finally, we retrieve the soil moisture in Tibet from TRMM/TMI data, and the distribution trend of retrieval results is consistent with the real world. Kebiao Mao , Tang H. J., Zhang L. X., Li M. C., Guo Y., Zhao D. Z., A Method for Retrieving Soil Moisture in Tibet Region By Utilizing Microwave Index from TRMM/TMI Data, International Journal of Remote Sensing, DOI:10.1080/01431160701442104. 2008 ， 29 （ 10 ）： 2905-2925. PDF download(点击下载） 相关连接 ： http://www.sciencenet.cn/blog/user_content.aspx?id=230867
姓名： 毛克彪 研究员/客座教授，博导，(中国农业科学院资划所优秀青年一级人才),全国优秀科技工作者 学历： 博士 发表论文100余篇 （第一作者近 70 篇）， 个人专著2部，获得授权发明专利10余项，软件专利18项，个人获得北京市青年科技奖1项，中国产学研促进奖1项，中国农业科学院青年科技1项，中国农业科学院建院60周年卓越奉献奖1项，作为参与人获得国家科技进步二等奖2项，北京市科技进步奖三等奖2项。主持国家自然科学基金项目2项，973子课题2项，863子课题1项，部级项目2项，主持和参加其他项目9项。 主要从事微波，热红外遥感，空间数据挖掘及GIS应用等方面的研究，提出了针对MODIS的实用劈窗算法和同时反演辐射率和地表温度的多波段算法，提出了针对ASTER数据的劈窗算法和用神经网络优化的同时反演地表温度和发射率的多波段算法，提出了利用先验知识从ASTER数据反演近地表空气温度方法,提出了针对被动微波数据AMSR-E反演地表温度的物理统计算法和用微波指数反演土壤水分的算法，提出了利用神经网络和多传感器以及不同分辨率遥感数据从AMSR-E反演地表温度,并被邀请给地球物理学报(IEEE Trans. Geoscience and Remote Sesning)、地球物理研究（Journal of Geophysical of Research)、国际遥感(international journal of remote sensing)，传感器(Sensors)、中国科学、高技术通讯、兰州大学学报、中国矿业大学、遥感学报、国土资源遥感、遥感信息等期刊和国内外会议审稿。 工作和教育背景 : 访问科学家 / 国家公派博士后 : Department of Geography and Program in Planning University of Toronto, Canada. (2012.12~2013.9) 2007.5 ~ 至今 中国农业科 学院农业资源与区划所农业部资源遥感重点实验室, 主要从事农业遥感,地表参数反演，数据同化等应用方面的研究; 2006.3-2006.5 在台湾中央大学做访问研究 , 主要关于 MODIS 地表温度和蒸散发研究 2004.9 ~ 2007.4 中国科学院遥感 应用研究 所 地图学与地理信息系统 博士 主修课程:微波遥感,数字图象,遥感物理, 微波遥感， 地理信息系统; 主要研究方向：微波和热红外遥感的辐射机理研究，具体包括地表温度反演、土壤水分反演等，空间数据挖掘 ； 2001.9~2004.7 南京大学 地图学与地理信息系统 获硕士学位 主修课程 : 遥感 , 地理信息系统 , 图象处理 , 数据挖掘 , 电子商务 , 数据库设计与开发 ; 主要研究方向：热红外遥感， GIS （地理信息系统），数据挖掘 ； 1997.9~2001.7 东北师范大学 城市规划与区域开发 获学士学位 主修课程 : 城市规划 , 区域开发 本科期间 , 几乎修完计算机系所有课程 , 修完中国科学技术大学工商管理 函授 专业 并获结业证书 学位论文: 毛克彪,针对MODIS地表温度反演方法研究,硕士论文,南京大学,2004.5 毛克彪,针对热红外和被动微波数据的地表温度和土壤水分反演算法研究,博士学位论文,中国科学院遥感应用研究所,2007.4 发表专著和论文： 1. 毛克彪 , 基于热红外和微波数据的地表温度和土壤水分反演算法研究 , 中国农业科学技术出版社 , 2007.12( 专著 ). 1. KebiaoMao * , YingMa, Xuelan Tan, Xinyi Shen, Guang Liu, Zhaoliang Li, Jingming Chen, Lang Xia,Global surface temperature change analysis based on MODIS data in recent twelveyears, Advance Space Research, 2017,59,503-512. 2. Mao KB * , Chen J M, Li Z L, et al. Global water vapor contentdecreases from 2003 to 2012: an analysis based on MODIS Data, Chinese GeographicalScience, 2017, 27(1), 1-7. 3. KebiaoMao*, Zhaoliang Li, Jingming Chen, Ying Ma, Guang Liu, Xuelan Tan,Kaixin Yang, Global vegetation change analysis based on MODIS data in recenttwelve years, High Technology Letters, 2016, 22(4), 343-349. 4. Xinyi Shen, Humberto J.V., Efthymios I.N.,Emmanouil N.A., Yang Hong, Zeong Hao, Ke Zhang, Kebiao Mao, GDBC: A tool for generating global-scale distributedbasin morphometry, Environmental Modelling Software, 2016, 83: 212-223. 5. KebaioMao*, Y. Ma, L. Xia, X. Y. Shen, et al. A New Perspectiveabout Climate Change, Scientific Journal of Earth Science, 2015, 5(1): 12-17. 6. KebiaoMao*, Y. Ma, X. Y. Shen, L. Xia, et al., A method for retrievingsoil moisture from GNSS-R by using experiment data, High Technology letters,2015,21(2):219-223. 7. LangXia, F. Zhao, Y. Ma, Z. W. Sun, X. Y. Shen, Kebiao Mao*, An Improved Algorithm for theDetection of Cirrus Clouds in the Tibetan Plateau Using VIIRS and MODIS Data ,Journal of Atmosphere and Oceanic Technology, 2015, 32, 2125-2129. 8. Xinyi Shen * ,Hong Yang, Qiming Qin, Basara Jeffrey, KebiaoMao , A semi-physical microwave surface emission model for soil moistureretrieval, IEEE Transaction on Geoscience and Remote Sensing, 2015, 53 (7),4079-4090. 9. Lang Xia, KebiaoMao* , Y. Ma, F. Zhao, L.P. Jiang, X.Y. Shen, Z. H. Qin, An algorithm forretrieving land surface temperature using VIIRS data in combination withmulti-sensors, Sensors, 2014, 14, 21385-21408. 10. KebaioMao* , Y. Ma, L. Xia, Wendy Y. Chen, X. Y. Shen, T. J. He, Globalaerosol change in the last decade: An analysis based on MODIS data, AtmosphericEnvironment, 2014, 94:680-686. 11. Tongren Xu, S.M. Bateni, Shunlin Liang, DaraEntekhabi, Kebiao Mao , Estimation ofSurface Turbulent Heat Fluxes via Variational Assimilation of Sequences of LandSurface Temperatures from Geostationary Operational Environmental Satellites,Journal of Geophysical Research-atmosphere, 2014, 119, 10780 -10798. 12. KebiaoMao* , Y. Ma, X. Y. Shen, L. Xia, et al., The Study of EstimationMethod of Broadband Emissivity from EOS/MODIS Data, High Technology letters,2014, 21(1):88-91. 13. KebiaoMao* , Y. Ma, L, Xia, X. Shen, et al., A neural network method formonitoring snowstorm: A case study in southern China. Chinese GeographicalScience, 2014, 24(5):599-606. 14. Shen X., Kebiao Mao , Q. Qin, Y. Hong, Guifu Zhang, Bare surface soil moistureestimation using double-angle and dual-polarization L-band radar data, IEEETransaction on Geoscience and Remote Sensing, 2013, 51(7):3931-3942. 15. KebiaoMao* , Y. Ma, X. Shen, et al., Estimation of Broadband Emissivity(8-12um) from ASTER Data by Using RM-NN, Optics Express, 2012, 20(18):20096-20101. 16. JianCheng Shi, Y. Du, J. Du, L. Jiang, L, Chai, Kebiao Mao , et al., Progresses onmicrowave remote sensing of land surface parameters, Science China EarthScience, 2012, 55 (7): 1052-1078. 17. KebiaoMao* , Y. Ma, L. Xia, et al., The Monitoring Analysis for theDrought in China by Using an Improved MPI Method, Journal of IntegrativeAgriculture, 2012, 11(6), 1048-1058. 18. KebiaoMao* , SanMei Li, DaoLong Wang, LiXin Zhang, Huajun Tang, Xiufeng Wang, Zhaoliang Li, Retrieval of Land SurfaceTemperature and Emissivity from ASTER1B data Using Dynamic Learning NeuralNetwork, international journal of remote sensing, 2011, 32(19), 5413-5423. 19. KebiaoMao* , H. T. Li, D. Y. Hu, J. Wang, J. X. Huang, Z. L. Li, Q. B. Zhou,and H. J. Tang, Estimation of water vapor content in near-infrared bands around1 μm from MODIS data by using RM–NN, Optics Express, 2010, 18(9), 9542–9554. 20. Ke biao Mao * , Huajun Tang, Xiufeng Wang, Qingbo Zhou, DaolongWang, Near-Surface Air Temperature Estimation From ASTER Data Using NeuralNetwork, International Journal of Remote Sensing,2008, 29(20): 6021-6028. 21. Kebiao Mao * , Jiancheng Shi, Huajun Tang, Zhao-Liang Li, Xiufeng Wang, Kunshan Chen, A Neural NetworkTechnique for Separating Land Surface Emissivity and Temperature from ASTERImagery, IEEE Trans. Geosci. Remote Sensing, 2008, 46(1), 200-208. 22. KebiaoMao * , J.Shi, Z. Li, and H. Tang, An RM-NN algorithm for retrieving land surfacetemperature and emissivity from EOS/MODIS data, Journal of GeophysicalResearch-atmosphere, 2007, 112,D21102, 1-17. 23. Kebiao Mao * , Jiancheng Shi, Zhaoliang Li, Zhihao Qin,Manchun Li, Bin Xu, A physics-based statistical algorithm for retrieving landsurface temperature from AMSR-E passive microwave data, Science in China(Series D) ， 2007,7:1115-1120. 24. KebiaoMao* , Tang H. J., Zhang L. X., Li M. C., Guo Y., Zhao D. Z., A Method for Retrieving Soil Moisture inTibet Region By Utilizing Microwave Index from TRMM/TMI Data, InternationalJournal of Remote Sensing, 2008 ， 29 （ 10 ）： 2905-2925. 25. Kebiao Mao * , Qin Z., Shi J., Gong P., A PracticalSplit-Window Algorithm for Retrieving Land Surface Temperature from MODIS Data,International Journal of Remote Sensing, 2005,26:3181-3204. 26. Huang Jianxi, Zeng Yuan, Wu Wenbin, Mao Kebiao , Xu Jingyu, Su Wei ， Estimationof Overstory and Understory Leaf Area Index by Combining Hyperion andPanchromatic QuickBird Data Using Neural Network Method ， SensorLetters, 2011, 9( 3), 964-973(10). 27. Huang Jianxi, Zeng Yuan, Kuusk Andres, WuBingfang, Dong Lixin, Mao Kebiao, Chen Jinsong, Inverting a forest canopyreflectance model to retrieve the overstorey and understorey leaf area indexfor forest stands, International Journal of Remote Sensing, 2011, 32(22),7591-7611. 28. Changhong Su, Bojie Fu, Yongping Wei, Yihe Lü,Guohua Liu, Daolong Wang, Kebiao Mao, Xiaoming Feng ， Ecosystemmanagement based on ecosystem services and human activities: a case study inthe Yanhe watershed ， Sustainability Science. 2012, 7(1). 17-32.DOI:10.1007/s11625-011-0145-1. 29. KebiaoMao* , Y. Ma, Z.Y. Zuo, Y. Q. Jiao, F. Wang, Q. Liu, Z. W. Sun,Global water vapor content and vegetation change analysis based on remotesensing data, International Geoscience and Remote Sensing Symposium (IGARSS16),2016, 17, 5205-5208. 30. KebiaoMao* , Y. Ma, Z.Y. Zuo, F. Wang, Y. Q. Jiao, X.Y. Shen, Q. Liu,Which year is the hottest or coldest from 2001 to 2012 based on remote sensingdata, International Geoscience and Remote Sensing Symposium (IGARSS16), 2016, 16,5213-5216. 31. kebiaoMao* , L.P. Jiang, Y. Z. Liu, D. L. Wang, H.J.Tang, Retrivalanalysis of snow depth from AMSR-E data in complex weather conditions,IITA-GRS2010, V1, 177-180. 32. kebiaoMao* , C.Y.Gao, L.J.Han, W. ZHANG, H.J. Tang, The droughtmonitoring in China by using AMSR-E data, IITA-GRS2010, V1, 181-184. 33. Kebiao Mao* , Zhang Mengyang, Wang Jianming,Tang Huajun,ZhouQingbo, The Study of Soil Moisture Retrieval Algorithm from GNSS-R, IITAConference on Geoscience and Remote Sensing (IITA-GRS 2008), Shanghai,2008,12,1-5. 34. KebiaoMao* , Wang Jianming, Zhang Mengyang, Tang Huajun, Zhou Qingbo, AnAMSR-E Monitoring of Snowstorm -Disaster in South-China in 2008 Year, IITAConference on Geoscience and Remote Sensing (IITA-GRS 2008), Shanghai,2008,12,1-5. 35. KebiaoMao* , Jiancheng Shi, Huajun Tang, Ying Guo, Yubao Qiu, Liying Li,A neural –network technique for retrieving land surface temperature from AMSR-Epassive microwave data, International Geoscience and Remote Sensing Symposium(IGARSS07), 23-28 July 2007, 7: 4422-4425. 36. KebiaoMao* , Zhihao Qin, Manchun Li, Lixin Zhang, Bin Xu, Lingmei Jiang,An Algorithm for Surface Soil Moisture Retrieval Using the Microwave Polarization DifferenceIndex, International Geoscience and Remote Sensing Symposium (IGARSS06). 37. KebiaoMao* ,Jiangcheng Shi, Zhaoliang Li, Zhihao Qin, Xiufeng Wang, Lingmei Jiang, A Multiple-Band Algorithm for SeparatingLand Surface Emissivity and Temperature from ASTER Imagery, InternationalGeoscience and Remote Sensing Symposium (IGARSS06). 38. KebiaoMao* , Jiancheng Shi, Zhihao Qin, Peng Gong, Wei Liu, Lina Xu, AMultiple-band Algorithm for Retrieving Land-Surface Temperature and Emissivityfrom MODIS Data, InternationalGeoscience and Remote Sensing Symposium (IGARSS05), 25-29 July 2005, 5: 3269 -3272. 39. KebiaoMao* ， Jiancheng Shi ， ZhaoliangLi ， Zhihao Qin, Yuanyuan Jia, Land SurfaceTemperature and Emissivity Retrieved From the AMSR Passive Microwave Data,International Geoscience and Remote Sensing Symposium (IGARSS05), 25-29 July2005, 4: 2247 – 2249. 40. KebiaoMao* , Zhihao Qin, Bin Xu,Manchun Li, Jianming Wang Shengli Wu, The Influence Analysis of Water Contentfor the Accuracy of Practical Split-window Algorithm, International Geoscienceand Remote Sensing Symposium (IGARSS05), 25-29 July 2005, 5: 3266 – 3268. 41. KebiaoMao* , Jiancheng Shi, Zhihao Qin, Peng Gong, AnAdvanced and Optimized Split-Window Algorithm for Retrieving Land-SurfaceTemperature from ASTER Data, International Symposium on Physical Measurementsand Signatures in Remote Sensing (ispmsrs),2005.10. 42. KebiaoMao* , Jiancheng Shi, Zhaoliang Li, Zhihao Qin, PengGong, A Physics Based on Statistics Algorithm for Retrieving Land SurfaceTemperature and Soil Moisture From AMSR-E Passive Microwave Data, InternationalSymposium on Physical Measurements and Signatures in Remote Sensing (ispmsrs),2005.10. 43. Shengli Wu, KebiaoMao , Jiangyang Du, Lina Xu, Jiangming Wang, The Potential of TRMM/PR Datato Monitor Snow in Tibetan Plateau, International Geoscience and Remote SensingSymposium (IGARSS05), 25-29 July 2005, 5: 4431 -4434. 44. Xu Lina, Jiancheng Shi, Kebiao Mao , Estimating snow albedo in Tibetan plateau using MODIS,Proceedings of SPIE - The International Society for Optical Engineering, 2005. 45. Ying Guo, Jiancheng Shi, Kebiao Mao , Surface temperature effect on soil moisture retrievalfrom AMSR-E data, International Geoscience and Remote Sensing Symposium(IGARSS07), 23-28 July 2007, 7:1192 – 1195. 46. Yubao Qiu, Jiancheng Shi, Liangmei Jiang, Kebiao Mao , Study of atmosphericeffects on AMSR-E microwave brightness temperature over Tibetan plateau,International Geoscience and Remote Sensing Symposium (IGARSS07), 23-28 July2007, 7:1873 – 1876. 47. KebiaoMao* , Y. Ma, Z.Y. Zuo, Y. Q. Jiao, F. Wang, Q. Liu, Z. W. Sun,Global water vapor content and vegetation change analysis based on remotesensing data, International Geoscience and Remote Sensing Symposium (IGARSS16),2016, 17, 5205-5208. 48. KebiaoMao* , Y. Ma, Z.Y. Zuo, F. Wang, Y. Q. Jiao, X.Y. Shen, Q. Liu,Which year is the hottest or coldest from 2001 to 2012 based on remote sensingdata, International Geoscience and Remote Sensing Symposium (IGARSS16), 2016,16, 5213-5216.
标签: 遥感
