浏览全部资源
扫码关注微信
纸质出版日期： 2020-03-07 ，
扫 描 看 全 文
赵少杰，张涛，蒋玲梅，柴琳娜.2020.裸露地表微波热采样深度统计模型.遥感学报，24（3）： 290-301
Zhao S J，Zhang T，Jiang L M and Chai L N. 2020. A statistical model for estimating microwave thermal sampling depth of bare soil. Journal of Remote Sensing（Chinese）， 24（3）： 290-301
被动微波遥感反演土壤水分对应的土壤深度是土壤水分产品真实性检验和应用中必须确定的问题。本研究利用理论模型对影响土壤热采样深度的参数进行了分析。在此基础上，通过回归分析的方法发展了一个估算被动微波遥感土壤热采样深度的统计模型，并通过微波辐射测量实验对模型进行了验证。研究证明，理论模型模拟裸露地表发射率平均误差为0.032，基于理论模型发展的热采样深度统计模型的误差在0.5 cm左右。该统计模型可以通过土壤含水量、温度、质地和观测频率4个较容易获取的参数计算土壤微波辐射的热采样深度，为被动微波遥感土壤水分产品的真实性检验工作中地面土壤水分测量以及土壤水分遥感产品的应用提供参考。
One of the greatest advantages of microwave remote sensing over other remote sensing techniques is penetrability. Quantitatively estimating the sensing depth of passive microwave remote sensing is meaningful for simulation of satellite signals and validation of land surface parameters to estimate the sensing depth of passive microwave remote sensing. In this paper
a simple statistical model for estimating the thermal sampling depth in microwave frequencies of soil was developed and validated.
Thermal Sampling Depth (TSD) was introduced to describe the source of the main signals of passive microwave remote sensing. To develop a simple statistical model for estimating the TSD of soil
a theoretical model was introduced to describe the emission characteristics of a three-layer case
which incorporates all multiple reflections at the two boundaries. Based on radiative transfer theory
the total emission of the three layers was calculated. Sensitivity analysis was then performed to demonstrate the effects of the soil properties and frequency on the TSD based on a simulation database covering a wide range of soil characteristics and frequencies. Based on the sensitivity analysis results
a statistical model for estimating TSD was developed. This model can estimate the TSD using four common and easily acquired parameters: soil moisture
temperature
frequency
and soil specific surface area. For validation
a controlled field experiment using a Truck-mounted Multi-frequency Microwave Radiometer (TMMR) was designed and performed.
The total Root Mean Square Error (RMSE) between the TSD measured in field experiment and estimated using the statistical model was approximately 0.5 cm for the TRMM’s four frequencies.
The results indicated that the developed statistical model offers a relatively accurate and simple way to estimate the TSD.
被动微波遥感热采样深度统计模型土壤水分真实性检验
passive microwave remote sensingthermal sampling depthstatistical modelsoil moisturevalidation
Al Bitar A, Leroux D, Kerr Y H, Merlin O, Richaume P, Sahoo A and Wood E F. 2012. Evaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network. IEEE Transactions on Geoscience and Remote Sensing, 50(5): 1572-1586 [DOI: 10.1109/TGRS.2012.2186581http://dx.doi.org/10.1109/TGRS.2012.2186581]
Bindlish R, Jackson T J, Gasiewski A J, Klein M and Njoku E G. 2006. Soil moisture mapping and AMSR-E validation using the PSR in SMEX02. Remote Sensing of Environment, 103(2): 127-139 [DOI: 10.1016/j.rse.2005.02.003http://dx.doi.org/10.1016/j.rse.2005.02.003]
Brubaker K L and Entekhabi D. 1996. Analysis of feedback mechanisms in land-atmosphere interaction. Water Resources Research, 32(5): 1343-1357 [DOI: 10.1029/96WR00005http://dx.doi.org/10.1029/96WR00005]
Chai L N, Zhang L X, Shi J C and Wu F M. 2013. Equivalent scattering albedo estimation of cotton and soybean. Journal of Remote Sensing, 17(1): 17-33
柴琳娜, 张立新, 施建成, 吴凤敏. 2013. 棉花和大豆等效散射反照率估算. 遥感学报, 17(1): 17-33） [DOI: 10.11834/jrs.20131358http://dx.doi.org/10.11834/jrs.20131358]
Choudhury B J, Schmugge T J, Chang A and Newton R W. 1979. Effect of surface roughness on the microwave emission from soils. Journal of Geophysical Research, 84(C9): 5699-5706 [DOI: 10.1029/JC084iC09p05699http://dx.doi.org/10.1029/JC084iC09p05699]
Dirmeyer P A, Zeng F J, Ducharne A, Morrill J C and Koster R D. 2000. The sensitivity of surface fluxes to soil water content in three land surface schemes. Journal of Hydrometeorology, 1(2): 121-134 [DOI: 10.1175/1525-7541(2000)001<0121:TSOSFT>2.0.CO;2http://dx.doi.org/10.1175/1525-7541(2000)001<0121:TSOSFT>2.0.CO;2]
Dobson M C, Ulaby F T, Hallikainen M T and El-Rayes M A. 1985. Microwave dielectric behavior of wet soil-Part II: dielectric mixing models. IEEE Transactions on Geoscience and Remote Sensing, GE-23(1): 35-46 [DOI: 10.1109/TGRS.1985.289498http://dx.doi.org/10.1109/TGRS.1985.289498]
Entekhabi D, Njoku E G, O'Neill P E, Kellogg K H, Crow W T, Edelstein W N, Entin J K, Goodman S D, Jackson T J, Johnson J, Kimball J, Piepmeier J R, Koster R D, Martin N, McDonald K C, Moghaddam M, Moran S, Reichle R, Shi J C, Spencer M W, Thurman S W, Tsang L and Van Zyl J. 2010. The soil moisture active passive (SMAP) mission. Proceedings of the IEEE, 98(5): 704-716 [DOI: 10.1109/JPROC.2010.2043918http://dx.doi.org/10.1109/JPROC.2010.2043918]
Ersahin S, Gunal H, Kutlu T, Yetgin B and Coban S. 2006. Estimating specific surface area and cation exchange capacity in soils using fractal dimension of particle-size distribution. Geoderma, 136(3/4): 588-597 [DOI: 10.1016/j.geoderma.2006.04.014http://dx.doi.org/10.1016/j.geoderma.2006.04.014]
Fennessy M J and Shukla J. 1999. Impact of initial soil wetness on seasonal atmospheric prediction. Journal of Climate, 12(11): 3167-3180 [DOI: 10.1175/1520-0442(1999)012<3167:IOISWO>2.0.CO;2http://dx.doi.org/10.1175/1520-0442(1999)012<3167:IOISWO>2.0.CO;2]
Gherboudj I, Magagi R, Goita K, Berg A A, Toth B and Walker A. 2012. Validation of SMOS data over agricultural and boreal forest areas in Canada. IEEE Transactions on Geoscience and Remote Sensing, 50(5): 1623-1635 [DOI: 10.1109/TGRS.2012.2188532http://dx.doi.org/10.1109/TGRS.2012.2188532]
Hallikainen M T, Ulaby F T, Dobson M C, El-Rayes M A and Wu L K. 1985. Microwave dielectric behavior of wet soil-part 1: empirical models and experimental observations. IEEE Transactions on Geoscience and Remote Sensing, GE-23(1): 25-34 [DOI: 10.1109/TGRS.1985.289497http://dx.doi.org/10.1109/TGRS.1985.289497]
Jackson T J, Bindlish R, Cosh M H, Zhao T J, Starks P J, Bosch D D, Seyfried M, Moran M S, Goodrich D C, Kerr Y H and Leroux D. 2012. Validation of soil moisture and ocean salinity (SMOS) soil moisture over watershed networks in the U.S. IEEE Transactions on Geoscience and Remote Sensing, 50(5): 1530-1543 [DOI: 10.1109/TGRS.2011.2168533http://dx.doi.org/10.1109/TGRS.2011.2168533]
Jackson T J, Cosh M H, Bindlish R, Starks P J, Bosch D D, Seyfried M, Goodrich D C, Moran M S, and Du J Y. 2010. Validation of advanced microwave scanning radiometer soil moisture products. IEEE Transactions on Geoscience and Remote Sensing, 48(12): 4256-4272 [DOI: 10.1109/TGRS.2010.2051035http://dx.doi.org/10.1109/TGRS.2010.2051035]
Kerr Y H, Waldteufel P, Wigneron J P, Martinuzzi J, Font J and Berger M. 2001. Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission. IEEE Transactions on Geoscience and Remote Sensing, 39(8): 1729-1735 [DOI: 10.1109/36.942551http://dx.doi.org/10.1109/36.942551]
Klein L and Swift C. 1977. An improved model for the dielectric constant of sea water at microwave frequencies. IEEE Transactions on Antennas and Propagation, 25(1): 104-111 [DOI: 10.1109/TAP.1977.1141539http://dx.doi.org/10.1109/TAP.1977.1141539]
Laymon C A, Crosson W L, Jackson T J, Manu A and Tsegaye T D. 2001. Ground-based passive microwave remote sensing observations of soil moisture at S-band and L-band with insight into measurement accuracy. IEEE Transactions on Geoscience and Remote Sensing, 39(9): 1844-1858 [DOI: 10.1109/36.951075http://dx.doi.org/10.1109/36.951075]
Lee K H and Anagnostou E N. 2004. A combined passive/active microwave remote sensing approach for surface variable retrieval using tropical rainfall measuring mission observations. Remote Sensing of Environment, 92(1): 112-125 [DOI: 10.1016/j.rse.2004.05.003http://dx.doi.org/10.1016/j.rse.2004.05.003]
Li L, Gaiser P W, Gao B C, Bevilacqua R M, Jackson T J, Njoku E G, Rudiger C, Calvet J C and Bindlish R. 2010. WindSat global soil moisture retrieval and validation. IEEE Transactions on Geoscience and Remote Sensing, 48(5): 2224-2241 [DOI: 10.1109/TGRS.2009.2037749http://dx.doi.org/10.1109/TGRS.2009.2037749]
Mialon A, Wigneron J P, De Rosnay P, Escorihuela M J and Kerr Y H. 2012. Evaluating the L-MEB model from long-term microwave measurements over a rough field, SMOSREX 2006. IEEE Transactions on Geoscience and Remote Sensing, 50(5): 1458-1467 [DOI: 10.1109/TGRS.2011.2178421http://dx.doi.org/10.1109/TGRS.2011.2178421]
Nedeltchev N M. 1999. Thermal microwave emission depth and soil moisture remote sensing. International Journal of Remote Sensing, 20(11): 2183-2194 [DOI: 10.1080/014311699212182http://dx.doi.org/10.1080/014311699212182]
Newton R W, Black Q R, Makanvand S, Blanchard A J and Jean B R. 1982. Soil moisture information and thermal microwave emission. IEEE Transactions on Geoscience and Remote Sensing, GE-20(3): 275-281 [DOI: 10.1109/TGRS.1982.350443http://dx.doi.org/10.1109/TGRS.1982.350443]
Njoku E G and Entekhabi D. 1996. Passive microwave remote sensing of soil moisture. Journal of Hydrology, 184(1/2): 101-129.
Njoku E G, Jackson T J, Lakshmi V, Chan T K and Nghiem S V. 2003. Soil moisture retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing, 41(2): 215-229 [DOI: 10.1109/TGRS.2002.808243http://dx.doi.org/10.1109/TGRS.2002.808243]
Njoku E G and Li L. 1999. Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz. IEEE Transactions on Geoscience and Remote Sensing, 37(1): 79-93 [DOI: 10.1109/36.739125http://dx.doi.org/10.1109/36.739125]
Owe M and Van de Griend A A. 1998. Comparison of soil moisture penetration depths for several bare soils at two microwave frequencies and implications for remote sensing. Water Resources Research, 34(9): 2319-2327 [DOI: 10.1029/98WR01469http://dx.doi.org/10.1029/98WR01469]
Page L, Jackson C, Barnes C, Bennett C, Halpern M, Hinshaw G, Jarosik N, Kogut A, Limon M, Meyer S S, Spergel D N, Tucker G S, Wilkinson D T, Wollack E and Wright L E. 2003. The optical design and characterization of the microwave anisotropy probe. The Astrophysical Journal, 585(1): 566-586 [DOI: 10.1086/346078http://dx.doi.org/10.1086/346078]
Panciera R, Walker J P, Kalma J D, Kim E J, Hacker J M, Merlin O, Berger M and Skou N. 2008. The NAFE'05/CoSMOS data set: toward SMOS soil moisture retrieval, downscaling, and assimilation. IEEE Transactions on Geoscience and Remote Sensing, 46(3): 736-745 [DOI: 10.1109/TGRS.2007.915403http://dx.doi.org/10.1109/TGRS.2007.915403]
Stogryn A. 1971. Equations for calculating the dielectric constant of saline water (correspondence). IEEE Transactions on Microwave Theory and Techniques, 19(8): 733-736 [DOI: 10.1109/TMTT.1971.1127617http://dx.doi.org/10.1109/TMTT.1971.1127617]
Ulaby F T, Moore R K and Fung A K. 1981. Microwave Remote Sensing Active and Passive-Volume I: Microwave Remote Sensing Fundamentals and Radiometry. Massachusettes: Addison-Wesley Publishing Company: 159-163
Ulaby F T, Moore R K and Fung A K. 1982. Microwave Remote Sensing: Active and Passive, Volume II: Radar Remote Sensing and Surface Scattering and Emission Theory. Norwood: Artech House: 846-847
Ulaby F T, Moore R K and Fung A K. 1986. Microwave Remote Sensing Active and Passive-Volume III: from Theory to Applications. Norwood: Artech House: 1552.
Viterbo P and Betts A K. 1999. Impact of the ECMWF reanalysis soil water on forecasts of the July 1993 Mississippi flood. Journal of Geophysical Research, 104(D16): 19361-19366 [DOI: 10.1029/1999JD900449http://dx.doi.org/10.1029/1999JD900449]
Wang J, Jiang L M, Kou X K, Cui H Z and Yang J W. 2019. Downscaling method for near-surface freeze/thaw state monitoring in Genhe area of China. Journal of Remote Sensing, 23(6): 1209-1222
王健, 蒋玲梅, 寇晓康, 崔慧珍, 杨建卫. 2019. 根河地区冻融监测和降尺度算法的验证分析. 遥感学报, 23(6): 1209-1222） [DOI: 10.11834/jrs.20198097http://dx.doi.org/10.11834/jrs.20198097]
Wilheit T T. 1978. Radiative transfer in a plane stratified dielectric. IEEE Transactions on Geoscience Electronics, 16(2): 138-143 [DOI: 10.1109/TGE.1978.294577http://dx.doi.org/10.1109/TGE.1978.294577]
Zhang T, Zhao S J, Zhang L X, Zhang Z J, Jiang L M and Chai L N. 2015. A truck-mounted multi-frequency microwave radiometer and application of experimental data. Remote Sensing Technology and Application, 30(5): 1012-1020
张涛, 赵少杰, 张立新, 张钟军, 蒋玲梅, 柴琳娜. 2015. 车载多频率微波辐射计与观测数据应用. 遥感技术与应用, 30(5): 1012-1020） [DOI: 10.11873/j.issn.1004-0323.2015.5.1012http://dx.doi.org/10.11873/j.issn.1004-0323.2015.5.1012]
相关作者
相关机构
京公网安备11010802024621