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Journal of Arid Land
Journal of Arid Land  2018, Vol. 10 Issue (1): 84-100    DOI: 10.1007/s40333-017-0075-6
Orginal Article     
Utilizing a new soil effective temperature scheme and archived satellite microwave brightness temperature data to estimate surface soil moisture in the Nagqu region, Tibetan Plateau of China
Hui TIAN1,*(), IQBAL Mudassar1,2
1 Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
2 University of Chinese Academy of Sciences, Beijing 100049, China
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Abstract  

Since the early 2000s, many satellite passive microwave brightness temperature (BT) archives, such as the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) BTs, have become the useful resources for assessing the changes in the surface and deep soil moistures over both arid and semi-arid regions. In this study, we used a new soil effective temperature (Teff) scheme and the archived AMSR-E BTs to estimate surface soil moisture (SM) over the Nagqu region in the central Tibetan Plateau, China. The surface and deep soil temperatures required for the calculation of regional-scale Teff were obtained from outputs of the Community Land Model version 4.5 (CLM4.5). In situ SM measurements at the CEOP-CAMP/Tibet (Coordinated Enhanced Observing Period Asia-Australia Monsoon Project on the Tibetan Plateau) experimental sites were used to validate the AMSR-E-based SM estimations at regional and single-site scales. Furthermore, the spatial distribution of monthly mean surface SM over the Nagqu region was obtained from 16 daytime AMSR-E BT observations in July 2004 over the Nagqu region. Results revealed that the AMSR-E-based surface SM estimations agreed well with the in situ-based surface SM measurements, with the root mean square error (RMSE) ranging from 0.042 to 0.066 m3/m3 and the coefficient of determination (R2) ranging from 0.71 to 0.92 during the nighttime and daytime. The regional surface soil water state map showed a clear spatial pattern related to the terrain. It indicated that the lower surface SM values occurred in the mountainous areas of the northern, mid-western and southeastern parts of Nagqu region, while the higher surface SM values appeared in the low elevation areas such as the Tongtian River Basin, Namco Lake and bog meadows in the central part of Nagqu region. Our analysis also showed that the new Teff scheme does not require special fitting parameters or additional assumptions, which simplifies the data requirements for regional-scale applications. This scheme combined with the archived satellite passive microwave BT observations can be used to estimate the historical surface SM for hydrological process studies over the Tibetan Plateau regions.

Key words： soil effective temperature      archived AMSR-E brightness temperature      CLM4.5 soil temperature output      Cumulative Distribution Function (CDF) matching      surface soil moisture      Tibetan Plateau     
Received: 26 June 2017      Published: 10 February 2018
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Hui TIAN, IQBAL Mudassar. Utilizing a new soil effective temperature scheme and archived satellite microwave brightness temperature data to estimate surface soil moisture in the Nagqu region, Tibetan Plateau of China. Journal of Arid Land, 2018, 10(1): 84-100.

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http://jal.xjegi.com/10.1007/s40333-017-0075-6     OR     http://jal.xjegi.com/Y2018/V10/I1/84

[1] Assouline S.2013. Infiltration into soils: Conceptual approaches and solutions. Water Resources Research, 49(4): 1755-1772.
[2] Avissar R.1998. Which type of soil-vegetation-atmosphere transfer scheme is needed for general circulation models: a proposal for a higher-order scheme. Journal of Hydrology, 212-213: 136-154.
[3] Brocca L, Hasenauer S, Lacava T, et al.2011. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe. Remote Sensing of Environment, 115(12): 3390-3408.
[4] Chen B, Xu X D, Yang S, et al.2012. On the characteristics of water vapor transport from atmosphere boundary layer to stratosphere over Tibetan Plateau regions in summer. Chinese Journal of Geophysics, 55(2): 406-414. (in Chinese)
[5] Choudhury B J, Schmugge T J, Mo T.1982. A parameterization of effective soil temperature for microwave emission. Journal of Geophysical Research: Oceans, 87(C2): 1301-1304.
[6] De Jeu R A M.2003. Retrieval of land surface parameters using passive microwave remote sensing. PhD Dissertation. Amsterdam: Vrije Universiteit Amsterdam.
[7] De Jeu R A M, Wagner W, Holmes T R H, et al.2008. Global soil moisture patterns observed by space borne microwave radiometers and scatterometers. Surveys in Geophysics, 29(4-5): 399-420.
[8] Dobson M C, Ulaby F T, Hallikainen M T, et al.1985. Microwave dielectric behavior of wet soil-part II: dielectric mixing models. IEEE Transactions on Geoscience and Remote Sensing, GE-23(1): 35-46.
[9] Drusch M, Wood E F, Jackson T J.2001. 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, 2(2): 181-192.
[10] Gao H, Wood E F, Jackson T J, et al.2006. Using TRMM/TMI to retrieve surface soil moisture over the Southern United States from 1998 to 2002. Journal of Hydrometeorology, 7(1): 23-38.
[11] Gentine P, Entekhabi D, Polcher J.2011. The diurnal behavior of evaporative fraction in the soil-vegetation-atmospheric boundary layer continuum. Journal of Hydrometeorology, 12(6): 1530-1546.
[12] Gutzler D S, Kim H K, Higgins R W, et al.2005. The North American monsoon model assessment project: Integrating numerical modeling into a field-based process study. Bulletin of the American Meteorological Society, 86(10): 1423-1429.
[13] Holmes T R H, De Rosnay P, De Jeu R, et al.2006. A new parameterization of the effective temperature for L band radiometry. Geophysical Research Letters, 33(7): L07405, doi: 10.1029/2006GL025724.
[14] Jackson T J, Hsu A Y, O'Neill P E.2002. Surface soil moisture retrieval and mapping using high-frequency microwave satellite observations in the Southern Great Plains. Journal of Hydrometeorology, 3(6): 688-699.
[15] Kerr Y H, Waldteufel P, Wigneron J P, et al.2010. The SMOS mission: new tool for monitoring key elements of the global water cycle. Proceeding of the IEEE, 98(5): 666-687.
[16] Knowles K W, Savoie M H, Armstrong R L, et al.2006. AMSR-E/Aqua daily global quarter-degree gridded brightness temperatures. Boulder, Colorado USA: National Snow and Ice Data Center, 1-23.
[17] Koike T, Njoku E, Jackson T J, et al. 2000. Soil moisture algorithm development and validation for the ADEOS-II/ AMSR. In: Proceedings of 2000 IEEE Transactions on Geoscience and Remote Sensing Symposium (IGARSS). Honolulu, HI, USA: IEEE, 1253-1255.
[18] Kolassa J, Gentine P, Prigent C, et al.2016. Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 1: Satellite data analysis. Remote Sensing of Environment, 173: 1-14.
[19] Lee K, Harlow R C, Burke E J, et al.2002. Application of a plane-stratified emission model to predict the effects of vegetation in passive microwave radiometry. Hydrology and Earth System Sciences, 6(2): 139-152.
[20] Levenberg K.1944. A method for the solution of certain non-linear problems in least squares. Quarterly of Applied Mathematics, 2(2): 164-168.
[21] Liebe H J, Hufford G A, Cotton M G. 1993. Propagation modeling of moist air and suspended water/ice particles at frequencies below 1000 GHz. In: Proceedings of the 52nd Specialists Meeting of Electromagnetic Wave Propagation Panel. Palma de Mallorca, Spain: AGARD.
[22] Lv S N, Wen J, Zeng Y J, et al.2014. An improved two-layer algorithm for estimating effective soil temperature in microwave radiometry using in situ temperature and soil moisture measurements. Remote Sensing of Environment, 152: 356-363.
[23] Lv S N, Zeng Y J, Wen J, et al.2016a. A reappraisal of global soil effective temperature schemes. Remote Sensing of Environment, 183: 144-153.
[24] Lv S N, Zeng Y J, Wen J, et al.2016b. Determination of the optimal mounting depth for calculating effective soil temperature at L-Band: Maqu case. Remote Sensing, 8(6): 476, doi: 10.3390/rs8060476.
[25] Ma Y M, Su Z B, Koike T, et al.2003. On measuring and remote sensing surface energy partitioning over the Tibetan Plateau-from GAME/Tibet to CAMP/Tibet. Physics and Chemistry of the Earth, Parts A/B/C, 28(1-3): 63-74.
[26] Marquardt D W.1963. An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics, 11(2): 431-441.
[27] Nicolai-Shaw N, Hirschi M, Mittelbach H, et al.2015. Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data. Journal of Geophysical Research: Atmospheres. 120(19): 9955-9964.
[28] Njoku E G, 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.
[29] Njoku E G, Jackson T J, Lakshmi V, et al.2003. Soil moisture retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing, 41(2): 215-229.
[30] Paloscia S, Macelloni G, Santi E.2006. Soil moisture estimates from AMSR-E brightness temperatures by using a dual-frequency algorithm. IEEE Transactions on Geoscience and Remote Sensing, 44(11): 3135-3144.
[31] Press W H, Teukolsky S A, Vetterling W T, et al. 1986. Numerical Recipes: The Art of Scientific Computing. Cambridge: Cambridge University Press, 5-45.
[32] Pulliainen J, K?rn? J P, Hallikainen M.1993. Development of geophysical retrieval algorithms for the MIMR. IEEE Transactions on Geoscience and Remote Sensing, 31(1): 268-277.
[33] Reichle R H, Koster R D.2004. Bias reduction in short records of satellite soil moisture. Geophysical Research Letters, 31(19): L19501, doi: 10.1029/2004GL020938.
[34] Sabater J M, De Rosnay P, Balsamo G.2011. Sensitivity of L-band NWP forward modelling to soil roughness. International Journal of Remote Sensing, 32(19): 5607-5620.
[35] Schmugge T, O’Neill P E, Wang J R.1986. Passive microwave soil moisture research. IEEE Transactions on Geoscience and Remote Sensing, GE-24(1): 12-22.
[36] Thomsen J E, Bohrer G, Matheny A M, et al.2013. Contrasting hydraulic strategies during dry soil conditions in Quercus rubra and Acer rubrum in a sandy site in Michigan. Forests, 4(4): 1106-1120.
[37] Tian H, Wang C H, Wen J, et al.2012. Soil moisture estimation over an arid environment in Mongolia from passive microwave remote sensing based on a simplified parameterization method. Chinese Journal of Geophysics, 55(2): 415-427. (in Chinese)
[38] Ulaby F T, Moore R K, Fung A K.1982. Microwave Remote Sensing, Vol. II: Radar Remote Sensing and Surface Scattering and Emission Theory. New York: Addison-Wesley, 541-624.
[39] Ulaby F T, Moore R K, Fung A K.1986. Microwave Remote Sensing: Active and Passive, Vol. III: Volume Scattering and Emission Theory, Advanced Systems and Applications. Norwood, MA, USA: Artech House, 1522-1642.
[40] Verstraete M M, Pinty B, Myneni R B.1996. Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing. Remote Sensing of Environment, 58(2): 201-214.
[41] Wagner W, Bl?schl G, Pampaloni P, et al.2007. Operational readiness of microwave remote sensing of soil moisture for hydrologic applications. Nordic Hydrology, 38(1): 1-20.
[42] Wang J R, Choudhury B J.1981. Remote sensing of soil moisture content, over bare field at 1.4 GHz frequency. Journal of Geophysical Research, 85(C6): 5277-5282.
[43] Wen J, Su Z B.2003. The estimation of soil moisture from ERS wind scatterometer data over the Tibetan plateau. Physics and Chemistry of the Earth, Parts A/B/C, 28(1-3): 53-61.
[44] Wigneron J P, Laguerre L, Kerr Y H.2001. A simple parameterization of the L-band microwave emission from rough agricultural soils. IEEE Transactions on Geoscience and Remote Sensing, 39(8): 1697-1707.
[45] Wigneron J P, Calvet J C, Pellarin T, et al.2003. Retrieving near-surface soil moisture from microwave radiometric observations: current status and future plans. Remote Sensing of Environment, 85(4): 489-506.
[46] Wigneron J P, Chanzy A, De Rosnay P, et al.2008. Estimating the effective soil temperature at L-band as a function of soil properties. IEEE Transactions on Geoscience and Remote Sensing, 46(3): 797-807.
[47] Wilheit T T.1978. Radiative transfer in a plane stratified dielectric. IEEE Transactions on Geoscience Electronics, 16(2): 138-143.
[48] Xie Q X, Meng Q Y, Zhang L L, et al.2017. A soil moisture retrieval method based on typical polarization decomposition techniques for a maize field from full-polarization radarsat-2 data. Remote Sensing, 9(2): 168, doi: 10.3390/rs9020168.
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