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中国江淮、黄淮地区陆面微波比辐射率的变化特征 被引量:11

The Characteristics of Microwave Emissivity over Land of Chinese Jianghuai-Huanghuai Region
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摘要 陆面微波比辐射率较高且易变,造成陆面上反演降水以及其它大气参数较为困难。对于地表特征复杂的中国,陆面微波比辐射率的研究还很有限。通过利用Tropical Rainfall Measuring Mis-sion(TRMM)卫星上同步扫描的VIRS(红外和可见光)与TMI(微波)资料以及微波辐射传输模式反演了中国江淮、黄淮地区陆面微波比辐射率。然后,结合MODIS提供的地表类型数据,分析了江淮、黄淮地区不同地表微波比辐射率的时空变化特征。结果表明该地区的农作物地表比辐射率最小,垂直与水平比辐射率极化差最大;而森林地表比辐射率最大,极化差最小。此外,不同地表的微波比辐射率昼夜变化明显,季节变化不明显。比辐射率估算误差中,地表温度、微波亮温和大气相对湿度3因子的准确计算对22 GHz和85 GHz的影响较为明显,对其它通道影响较小。对于小于85 GHz的通道,比辐射率估算精度受微波亮温的影响最为明显,地表温度其次,相对湿度最小;对于高频85 GHz,相对湿度的影响最明显,其次是微波亮温,最后是地表温度。 The larger and highly variable microwave emissivity over land results in more difficulties to retrieve the precipitation and other atmospheric parameters over land. The research about microwave emissivity over land is still weak due to the complicated terrains in China. In the paper, the synchronous observation of infrared and visible scanner (VIRS) and microwave imager (TMI) on the Tropical Rainfall Measuring Mission (TRMM) satellite and one microwave radiation transfer model to retrieve the microwave emissivity over land of China were utilized in Jianghuai-Huanghuai region. Then, combining with the land cover type data derived from MODIS observations, the variation characteristics of microwave emissivity over different types of land cover in the middle region of China was further analyzed. Results show that the microwave emissivity of crop land surface is smallest and its polarization difference is largest while forest emissivity is largest and its polarization difference is smallest among mainly 5 types of land cover in this region. In addition, the microwave emissivity over different types of land cover shows more significant variation in day and night time while less variation in seasons. For the error estimatioffof emissivity, the influences of land surface temperature (LST), microwave brightness temperature (TB) and relative humidity (RH) on microwave 22 and 85 GHz channels are quite obvious. For those channels with frequencies less than 85GHz, the influence of TB on estimation of emissivity is most obvious, then LST and RH. For high frequency 85GHz, the influence of RH on estimation of emissivity is most obvious, then TB and LST.
出处 《遥感技术与应用》 CSCD 北大核心 2009年第3期297-303,共7页 Remote Sensing Technology and Application
基金 国家自然科学基金课题"中国典型地区陆面微波比辐射率的分布及其变化特征研究"(No.40605011)资助
关键词 微波 地表比辐射率 TRMM卫星 地表类型 Microwave Surface emissivity TRMM Land cover
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参考文献10

  • 1Ulaby F T,Moore R K,Fung A K.Microwave Remote Sensing Active and Passive[M].Artech House,Inc.,Dedham,Massachusetts,1986.
  • 2Wilke G D,McFarland M.Correlations Between Nimbus-7 Scanning Multi-channel Microwave Radiometer Data and an Antecedent Precipitation Index[J].Journal of Climate Application Meteorology,1986,25:227-238.
  • 3毛克彪,施建成,李召良,覃志豪,贾媛媛.用被动微波AMSR数据反演地表温度及发射率的方法研究[J].国土资源遥感,2005,17(3):14-17. 被引量:33
  • 4Felde G W,Pickle J.Retrieval of 91 and 150GHz Earth Surface Emissivities[J].Journal of Geophysical Research,1995,100:20,855-20,866.
  • 5Jones A S,Vonder T H.Passive Microwave Remote Sensing of Cloud Liquid Water Over Land Regions[J].Journal of Geophysical Research,1990,95:16,673-16,683.
  • 6Ruston R C,T H Vonder Haar.Characterization of Summertime Microwave Emissivity from the Special Sensor Microwave Imager Over the Conterminous United States[J].Journal of Geophysical Research,2004,109,D19103,doi:10.1029/2004JD004890.
  • 7Prigent C,Rossow W B,Matthews E.Microwave Land Surface Emissivities Estimated from SSM/I Observations[J].Journal of Geophysical Research,1997,102:21867-21890.
  • 8洪刚,GeorgHEYGSTER,KlausKUNZI,李万彪,朱元竞,赵柏林.反演寿县TMI微波频率的地表比辐射率(英)[J].Advances in Atmospheric Sciences,2003,20(2):253-260. 被引量:2
  • 9谷松岩,张文建,邱红.SSM/I资料反演大范围地表湿度试验[J].应用气象学报,2004,15(4):407-416. 被引量:5
  • 10Liu Guosheng.A Fast and Accurate Model for Microwave Radiance Calculations[J].Journal of the Meteorological Society of Japan,1998,76:335-342.

二级参考文献49

  • 1[2]Teng W L, Wang J R, Doraiswamy P C. Relationship between satellite index and regional soil moisture. Int J R S, 1993,14(13): 2483~2500.
  • 2[3]Choudhury B J, Owe M, Goward S N, et al. Quantifying spatial and temporal variabilities of microwave brightness temperature over the U.S. Southern Great Plains. International Journal of Remote Sensing, 1987, 8: 177~192.
  • 3[4]Owe M, de Jeu R, Walker J. A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Trans Geosci Rem Sens, 2001, 39(8): 1643~1654.
  • 4[5]Drusch M, Wood E F, Jackson T J. Vegetative and atmospheric corrections for the soil moisture retrieval from passive microwave remote sensing data: Results from the Southern Great Plains Hydrology Experiment 1997. Journal of Hydrometeorology, 2001,2: 181~192.
  • 5[6]Hsu A Y, Jackson T J, O'Neil P E. Comparison of ESTAR and SSM/I Derived Surface Soil Moisture. In Proc: Int Geoscience and Remote Sensing Symp'99, Hamburg, Germany, 1999.1908~1910.
  • 6[7]Heymsfield G A, Fulton R. Modulation of SSM/I microwave soil radiances by rainfall. Remote Sens Environ, 1992, 29: 187~202.
  • 7[8]Jackson T J. Soil moisture estimation using Spacial Sensor Microwave/Imager satellite data over a grassland region. Water Resour Res, 1997, 33:1457~1484.
  • 8[9]Choudhury B J. Reflectivities of selected land-surface types at 19 and 37 GHz from SSM/I. Remote Sens Environ, 1993, 46:1~17.
  • 9[10]Kerr Y H, Njoku E G. A semiarid land surface as seen from space. IEEE Trans Geosci Remote Sens, 1990, 28:384~393.
  • 10[11]Jones A S, VonderHaar T H. Retrieval of microwave surface emittance over land using coicincident microwave and infrared satellite measurements. J G R, 1997, 102:13609~13626.

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