A Comparison of Two Soil Moisture Products S2MP and Copernicus-SSM Over Southern France

被引:33
作者
Bazzi, Hassan [1 ]
Baghdadi, Nicolas [1 ]
El Hajj, Mohammad [1 ]
Zribi, Mehrez [2 ]
Belhouchette, Hatem [3 ]
机构
[1] Univ Montpellier, TETIS, Natl Res Inst Sci & Technol Environm & Agr, F-34093 Montpellier 5, France
[2] Ctr Etud Spatiales Biosphere CNRS UPS IRD CNES, INRA, Toulouse 9, France
[3] UMR Syst, CIHEAM IAMM, F-34090 Montpellier, France
关键词
Copernicus surface soil moisture (SSM); Sentinel-1 soil moisture; soil moisture product at plot scale ((SMP)-M-2); South France; INTEGRAL-EQUATION MODEL; C-BAND; SAR DATA; RETRIEVAL; RADAR; CALIBRATION; ALGORITHM; IMAGES;
D O I
10.1109/JSTARS.2019.2927430
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
This paper presents a comparison between the Sentinel-1/Sentinel-2-derived soil moisture product at plot scale ((SMP)-M-2) and the new Copernicus surface soil moisture (C-SSM) product at 1-km scale over a wide region in southern France. In this study, both products were first evaluated using in situ measurements obtained by the calibrated time delay reflectometer in field campaigns. The accuracy against the in situ measurements was defined by the correlation coefficient R, the root mean square difference (RMSD), and the bias and the unbiased root mean square difference (ubRMSD). Then, the soil moisture estimations from both SSM products were intercompared over one year (October 2016-October 2017). Both products show generally good agreement with in situ measurements. The results show that using in situ measurements collected over agricultural areas and grasslands, the accuracy of the C-SSM is good (RMSD = 6.0 vol%, ubRMSD = 6.0 vol%, and R = 0.48) but less accurate than the (SMP)-M-2 (RMSD = 4.0 vol%, ubRMSD = 3.9 vol%, and R = 0.77). The intercomparison between the two SSM products over one year shows that both products are highly correlated over agricultural areas that are mainly used for cereals (R value between 0.5 and 0.9 and RMSE between 4 and 6 vol%). Over areas containing forests and vineyards, the C-SSM values tend to overestimate the (SMP)-M-2 values (bias > 5 vol%). In the case of well-developed vegetation cover, the (SMP)-M-2 does not provide SSM estimations while C-SSM sometimes provides underestimated SSM values.
引用
收藏
页码:3366 / 3375
页数:10
相关论文
共 31 条
  • [1] Analysis of C-Band Scatterometer Moisture Estimations Derived Over a Semiarid Region
    Amri, Rim
    Zribi, Mehrez
    Chabaane, Zohra Lili
    Wagner, Wolfgang
    Hasenauer, Stefan
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (07): : 2630 - 2638
  • [2] VEGETATION MODELED AS A WATER CLOUD
    ATTEMA, EPW
    ULABY, FT
    [J]. RADIO SCIENCE, 1978, 13 (02) : 357 - 364
  • [3] Calibration of the Integral Equation Model for SAR data in C-band and HH and VV polarizations
    Baghdadi, N
    Holah, N
    Zribi, M
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (04) : 805 - 816
  • [4] Evaluation of polarimetric L- and P-bands RAMSES dataf for characterizing Mediterranean vineyards
    Baghdadi, Nicolas
    Holah, Noha
    Dubois-Fernandez, Pascale
    Dupuis, Xavier
    Garestier, Franck
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2006, 32 (06): : 380 - 389
  • [5] Detection of Frozen Soil Using Sentinel-1 SAR Data
    Baghdadi, Nicolas
    Bazzi, Hassan
    El Hajj, Mohammad
    Zribi, Mehrez
    [J]. REMOTE SENSING, 2018, 10 (08):
  • [6] Calibration of the Water Cloud Model at C-Band for Winter Crop Fields and Grasslands
    Baghdadi, Nicolas
    El Hajj, Mohammad
    Zribi, Mehrez
    Bousbih, Safa
    [J]. REMOTE SENSING, 2017, 9 (09):
  • [7] A New Empirical Model for Radar Scattering from Bare Soil Surfaces
    Baghdadi, Nicolas
    Choker, Mohammad
    Zribi, Mehrez
    El Hajj, Mohammad
    Paloscia, Simonetta
    Verhoest, Niko E. C.
    Lievens, Hans
    Baup, Frederic
    Mattia, Francesco
    [J]. REMOTE SENSING, 2016, 8 (11):
  • [8] Semiempirical Calibration of the Integral Equation Model for SAR Data in C-Band and Cross Polarization Using Radar Images and Field Measurements
    Baghdadi, Nicolas
    Abou Chaaya, Jad
    Zribi, Mehrez
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (01) : 14 - 18
  • [9] Coupling SAR C-Band and Optical Data for Soil Moisture and Leaf Area Index Retrieval Over Irrigated Grasslands
    Baghdadi, Nicolas N.
    El Hajj, Mohamad
    Zribi, Mehrez
    Fayad, Ibrahim
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (03) : 1229 - 1243
  • [10] Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles
    Bauer-Marschallingere, Bernhard
    Freeman, Vahid
    Cao, Senmao
    Paulik, Christoph
    Schaufler, Stefan
    Stachl, Tobias
    Modanesi, Sara
    Massario, Christian
    Ciabatta, Luca
    Brocca, Luca
    Wagner, Wolfgang
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (01): : 520 - 539