Soil Moisture Estimations Based on Airborne CAROLS L-Band Microwave Data

The SMOS satellite mission, launched in 2009, allows global soil moisture estimations to be made using the L-band Microwave Emission of the Biosphere (L-MEB) model, which simulates the L-band microwave emissions produced by the soil-vegetation layer. This model was calibrated using various sources of in situ and airborne data. In the present study, we propose to evaluate the L-MEB model on the basis of a large set of airborne data, recorded by the CAROLS radiometer during the course of 20 flights made over South West France (the SMOSMANIA site), and supported by simultaneous soil moisture measurements, made in 2009 and 2010. In terms of volumetric soil moisture, the retrieval accuracy achieved with the L-MEB model, with two default roughness parameters, ranges between 8% and 13%. Local calibrations of the roughness parameter, using data from the 2009 flights for different areas of the site, allowed an accuracy of approximately 5.3% to be achieved with the 2010 CAROLS data. Simultaneously we estimated the vegetation optical thickness (t) and we showed that, when roughness is locally adjusted, MODIS NDVI values are correlated (R2 = 0.36) to t. Finally, as a consequence of the significant influence of the roughness parameter on the estimated absolute values of soil moisture, we propose to evaluate the relative variability of the soil moisture, using a default soil roughness parameter. The soil moisture variations are estimated with an uncertainty of approximately 6%.

[1]  R. Lacaze,et al.  A Global Database of Land Surface Parameters at 1-km Resolution in Meteorological and Climate Models , 2003 .

[2]  J. Wigneron,et al.  A field experiment on microwave forest radiometry: L-band signal behaviour for varying conditions of surface wetness , 2007 .

[3]  B. Choudhury,et al.  Remote sensing of soil moisture content over bare field at 1.4 GHz frequency , 1981 .

[4]  Jacqueline Boutin,et al.  Remote Sensing of Sea Surface Salinity From CAROLS L-Band Radiometer in the Gulf of Biscay , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Yann Kerr,et al.  Calibration of the L-MEB Model Over a Coniferous and a Deciduous Forest , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Jean-Christophe Calvet,et al.  In situ soil moisture observations for the CAL/VAL of SMOS: the SMOSMANIA network , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[7]  Jean-Pierre Wigneron,et al.  Consequences of surface heterogeneity for parameter retrieval from 1.4-GHz multiangle SMOS observations , 2003, IEEE Trans. Geosci. Remote. Sens..

[8]  C. Albergel,et al.  From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations , 2008 .

[9]  Yann Kerr,et al.  CAROLS: A New Airborne L-Band Radiometer for Ocean Surface and Land Observations , 2011, Sensors.

[10]  Yann Kerr,et al.  A Simple Model of the Bare Soil Microwave Emission at L-Band , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Mehrez Zribi,et al.  Analysis of RFI Issue Using the CAROLS L-Band Experiment , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Y. Kerr,et al.  Estimates of surface soil moisture under grass covers using L-band radiometry , 2007 .

[13]  Thomas J. Jackson,et al.  Soil moisture and rainfall estimation over a semiarid environment with the ESTAR microwave radiometer , 1993, IEEE Trans. Geosci. Remote. Sens..

[14]  Yann Kerr,et al.  N-parameter retrievals from L-band microwave observations acquired over a variety of crop fields , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Arnaud Mialon,et al.  Evaluating an Improved Parameterization of the Soil Emission in L-MEB , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Jeffrey P. Walker,et al.  Soil moisture retrievals at L-band using a two-step inversion approach (COSMOS/NAFE'05 Experiment) , 2009 .

[17]  T. Mo,et al.  A model for microwave emission from vegetation‐covered fields , 1982 .

[18]  Joost C. B. Hoedjes,et al.  SMOSREX: A long term field campaign experiment for soil moisture and land surface processes remote sensing , 2006 .

[19]  Edward J. Kim,et al.  Evaluation of the SMOS L-MEB passive microwave soil moisture retrieval algorithm. , 2009 .

[20]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[21]  Yann Kerr,et al.  Characterizing the dependence of vegetation model parameters on crop structure, incidence angle, and polarization at L-band , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[22]  F. Ulaby,et al.  Microwave Dielectric Behavior of Wet Soil-Part II: Dielectric Mixing Models , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[23]  Y. Kerr,et al.  A first assessment of the SMOS data in southwestern France using in situ and airborne soil moisture estimates: The CAROLS airborne campaign , 2011 .

[24]  Qin Li,et al.  A parameterized surface reflectivity model and estimation of bare-surface soil moisture with L-band radiometer , 2002, IEEE Trans. Geosci. Remote. Sens..

[25]  A. Huete,et al.  MODIS VEGETATION INDEX ( MOD 13 ) ALGORITHM THEORETICAL BASIS DOCUMENT Version 3 . 1 Principal Investigators , 1999 .

[26]  Y. Kerr,et al.  Effective soil moisture sampling depth of L-band radiometry: A case study , 2010 .

[27]  Yann Kerr,et al.  A simple parameterization of the L-band microwave emission from rough agricultural soils , 2001, IEEE Trans. Geosci. Remote. Sens..

[28]  Y. Kerr,et al.  L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields , 2007 .