Retrieving China's surface soil moisture and land surface temperature using AMSR-E brightness temperatures

被引:9
作者
Chen, Xiuzhi [1 ,2 ]
Su, Yongxian [3 ]
Li, Yong [3 ]
Han, Liusheng [3 ]
Liao, Jishan [4 ]
Yang, Shenbin [2 ]
机构
[1] Chinese Acad Sci, South China Bot Garden, Key Lab Vegetat Restorat & Management Degraded Ec, Guangzhou 510650, Guangdong, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Coll Appl Meteorol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Jiangsu, Peoples R China
[3] Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China
[4] Univ Notre Dame, Dept Biol Sci, Notre Dame, IN 46556 USA
基金
中国国家自然科学基金;
关键词
SATELLITE MICROWAVE OBSERVATIONS; ALGORITHM; WETNESS; FIELDS; MODEL; INDEX;
D O I
10.1080/2150704X.2014.960610
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Based on the passive microwave radiative transfer equation, we developed a single-band model for retrieving surface soil moisture (m(v)) and land surface temperature (T-s) using Aqua satellite advanced microwave scanning radiometer (AMSR-E) C-band brightness temperatures (T-b) without any ancillary data. National-scale m(v) and T-s of China in 2009 were jointly mapped. The average mv and Ts retrieval errors are 0.037 g cm(-3) and 2.00K when validated by in situ measurements and approximately 0.025 g cm(-3) and 2.34K when compared with AMSR-E L3 m(v) and moderate-resolution imaging spectroradiometer daily T-s products. In particular, most m(v) and T-s estimation errors are under 0.37 g cm(-3) and 2.00K, respectively, for regions with the microwave polarization difference index (MPDI) between 0.01 and 0.05, but increased clearly larger for those with MPDI smaller than 0.01 or larger than 0.05, which are mostly dense-vegetated regions in Southwestern China or plateaus and dry deserts such as Inner Mongolia plateau, Qinghai-Tibet Plateau, Taklimakan Desert and Turpan basin. In summary, the proposed retrieval algorithm might provide a new way to monitor m(v) and T-s conditions for penetrable vegetation canopy regions, but further investigations are still needed, especially for specific plateau, desert and frozen regions.
引用
收藏
页码:662 / 671
页数:10
相关论文
共 32 条
  • [1] A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature, and emissivities over land from satellite microwave observations
    Aires, F
    Prigent, C
    Rossow, WB
    Rothstein, M
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D14) : 14887 - 14907
  • [2] [Anonymous], 2003, THESIS VRIJE U AMSTE
  • [3] Basist A, 1998, J APPL METEOROL, V37, P888, DOI 10.1175/1520-0450(1998)037<0888:UTSSMI>2.0.CO
  • [4] 2
  • [5] A simple retrieval method of land surface temperature from AMSR-E passive microwave data-A case study over Southern China during the strong snow disaster of 2008
    Chen, Shui-sen
    Chen, Xiu-zhi
    Chen, Wei-qi
    Su, Yong-xian
    Li, Da
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2011, 13 (01): : 140 - 151
  • [6] Mapping global surface roughness using AMSR-E passive microwave remote sensing
    Chen, X. Z.
    Li, Y.
    Su, Y. X.
    Han, L. S.
    Liao, J. S.
    Yang, S. B.
    [J]. GEODERMA, 2014, 235 : 308 - 315
  • [7] A semi-empirical inversion model for assessing surface soil moisture using AMSR-E brightness temperatures
    Chen, Xiu-zhi
    Chen, Shui-sen
    Zhong, Ruo-fei
    Su, Yong-xian
    Liao, Ji-shan
    Li, Dan
    Han, Liu-sheng
    Li, Yong
    Li, Xia
    [J]. JOURNAL OF HYDROLOGY, 2012, 456 : 1 - 11
  • [8] MICROWAVE DIELECTRIC BEHAVIOR OF WET SOIL .2. DIELECTRIC MIXING MODELS
    DOBSON, MC
    ULABY, FT
    HALLIKAINEN, MT
    ELRAYES, MA
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1985, 23 (01): : 35 - 46
  • [9] A simple retrieval method for land surface temperature and fraction of water surface determination from satellite microwave brightness temperatures in sub-arctic areas
    Fily, M
    Royer, A
    Goïta, K
    Prigent, C
    [J]. REMOTE SENSING OF ENVIRONMENT, 2003, 85 (03) : 328 - 338
  • [10] A physically-based inversion algorithm for retrieving soil moisture in passive microwave remote sensing
    Hong, Sungwook
    Shin, Inchul
    [J]. JOURNAL OF HYDROLOGY, 2011, 405 (1-2) : 24 - 30