VALIDATION OF SATELLITE MICROWAVE RETRIEVED SOIL MOISTURE WITH GLOBAL GROUND-BASED MEASUREMENTS

被引:0
|
作者
Al-Yaari, A. [1 ]
Mialon, A. [2 ]
Dorigo, W. [3 ]
Colliander, A. [4 ]
Fan, L. [1 ]
Kerr, Y. [2 ]
Pellarin, T. [5 ]
Wigneron, J. -P. [1 ]
机构
[1] INRA, ISPA UMR1391, Villenave Dornon, France
[2] CESBIO, CNES CNRS IRD UPS, UMR 5126, 18 Ave Edouard Belin, Toulouse, France
[3] TU Wien, Vienna, Austria
[4] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
[5] Univ Grenoble Alpes, CNRS, IRD, Grenoble INP,IGE, F-38000 Grenoble, France
关键词
Soil moisture; validation; microwave remote sensing; SMOS; SMAP; CCI; ISMN; SMOS; PRODUCTS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Soil moisture retrieval from microwave remote sensing brightness temperatures is in continuous development. In this study, the most recent and latest microwave remote sensing soil moisture products were evaluated against ground-based measurements. We compared, for the first time, the latest versions of SMOS (L2V650 and SMOS-IC V105), SMAP (L3V4), and CCI (V03.2) soil moisture products with respect to ground-based measurements obtained from ISMN (International Soil Moisture Network). Time series were plotted over some sites and it was found that all these products capture well the temporal dynamics over all the sites used in this study. However, CCI was wetter than the in situ measurements over Niger and both SMOS products (IC and L2) and SMAP were drier than the in situ observations over Biebrza site in Poland.
引用
收藏
页码:3743 / 3746
页数:4
相关论文
共 50 条
  • [31] Surface microwave scattering model evaluation and soil moisture retrieval based on ground-based radar data
    Geng D.
    Zhao T.
    Shi J.
    Hu L.
    Xu H.
    Hu J.
    National Remote Sensing Bulletin, 2021, 25 (04) : 929 - 940
  • [32] Towards Land Surface Model Validation from Using Satellite Retrieved Soil Moisture
    Yee, M.
    Walker, J. P.
    Dumedah, G.
    Monerris, A.
    Ruediger, C.
    20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013), 2013, : 2890 - 2896
  • [33] Validation Analysis of SMAP and AMSR2 Soil Moisture Products over the United States Using Ground-Based Measurements
    Zhang, Xuefei
    Zhang, Tingting
    Zhou, Ping
    Shao, Yun
    Gao, Shan
    REMOTE SENSING, 2017, 9 (02)
  • [34] Comparison of ground-based and satellite measurements of total ozone
    Izrael, Yu. A.
    Belokrinitskaya, L. M.
    Dvoretskaya, I. V.
    Dorokhov, V. M.
    Ivanov, K. A.
    Kruchenitskii, G. M.
    Shepelev, D. V.
    Yusipov, T. A.
    RUSSIAN METEOROLOGY AND HYDROLOGY, 2014, 39 (06) : 420 - 430
  • [35] Comparison of ground-based and satellite measurements of total ozone
    Yu. A. Izrael
    L. M. Belokrinitskaya
    I. V. Dvoretskaya
    V. M. Dorokhov
    K. A. Ivanov
    G. M. Kruchenitskii
    D. V. Shepelev
    T. A. Yusipov
    Russian Meteorology and Hydrology, 2014, 39 : 420 - 430
  • [36] THEORETICAL VALIDATION OF GROUND-BASED MICROWAVE OZONE OBSERVATIONS
    RICAUD, P
    BRASSEUR, G
    BRILLET, J
    DELANOE, J
    PARISOT, JP
    PIRRE, M
    ANNALES GEOPHYSICAE-ATMOSPHERES HYDROSPHERES AND SPACE SCIENCES, 1994, 12 (07): : 664 - 673
  • [37] GROUND-BASED OBSERVATIONS COORDINATED WITH VIKING SATELLITE MEASUREMENTS
    OPGENOORTH, HJ
    KIRKWOOD, S
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1989, 328 (1598): : 221 - +
  • [38] Validation of a ground-based telescope-assisted hyperspectral remote sensor for soil measurements
    Salazar, Sean E.
    Coffman, Richard A.
    JOURNAL OF APPLIED REMOTE SENSING, 2020, 14 (02):
  • [39] Multifrequency ground-based radiometer and in-situ measurements of soil moisture at high temporal resolution
    Schneeberger, K
    Stamm, C
    Mdtzler, C
    Flühler, H
    Lehmann, E
    Willneff, J
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY IV, 2003, 4879 : 174 - 183
  • [40] Evaluation of Two SMAP Soil Moisture Retrievals Using Modeled- and Ground-Based Measurements
    Bai, Li
    Lv, Xin
    Li, Xiaojun
    REMOTE SENSING, 2019, 11 (24)