Study of multifrequency sensitivity to soil moisture variations in the lower Bermejo basin

Abstract In this paper, a sensitivity analysis to soil moisture variations as a rain effect has been performed at several microwave bands over the lower Bermejo basin, a subtropical area of Argentina mostly spread by moderately dense forests. Parameters such as emissivity and Polarization Index have been considered to carry out the study. In particular, the performance of L-band SMOS measurements has been compared with C and X band AMSR-E one, highlighting the better achievement of the lower frequencies due to the weaker interaction with the vegetation structures. This work intends to give a contribution in the subject of soil moisture sensitivity, which is a preliminary step in the development of retrieval algorithms.

[1]  Jean-Pierre Wigneron,et al.  Simulating L-band emission of forests in view of future satellite applications , 2002, IEEE Trans. Geosci. Remote. Sens..

[2]  Keiji Imaoka,et al.  The Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E), NASDA's contribution to the EOS for global energy and water cycle studies , 2003, IEEE Trans. Geosci. Remote. Sens..

[3]  Emanuele Santi,et al.  Modeling the Multifrequency Emission of Broadleaf Forests and Their Components , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[4]  T. Schmugge,et al.  Vegetation effects on the microwave emission of soils , 1991 .

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

[6]  Y. Kerr,et al.  A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space , 1990 .

[7]  Philippe Richaume,et al.  Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN/SNOTEL Network , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Paolo Ferrazzoli,et al.  Passive microwave remote sensing of forests: a model investigation , 1996, IEEE Trans. Geosci. Remote. Sens..

[9]  P. Ferrazzoli,et al.  L-band emission from a Eucalyptus forest in various soil conditions during the nafe campaign , 2010, 2010 11th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment.

[10]  Thomas J. Jackson,et al.  Soil moisture retrieval from AMSR-E , 2003, IEEE Trans. Geosci. Remote. Sens..

[11]  Simonetta Paloscia,et al.  Modeling polarization properties of emission from soil covered with vegetation , 1992, IEEE Trans. Geosci. Remote. Sens..

[12]  B. Choudhury.  Monitoring global land surface using Nimbus-7 37 GHz data - Theory and examples , 1989 .

[13]  Emanuele Santi,et al.  Soil Moisture Estimates From AMSR-E Brightness Temperatures by Using a Dual-Frequency Algorithm , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Simonetta Paloscia,et al.  Microwave polarization index for monitoring vegetation growth , 1988 .

[15]  Paolo Pampaloni,et al.  Microwave radiometry of forests , 2004 .

[16]  Yann Kerr,et al.  Introduction to the Special Issue on the ESA's Soil Moisture and Ocean Salinity Mission (SMOS) - Instrument Performance and First Results , 2012, IEEE Trans. Geosci. Remote. Sens..

[17]  Jean-Pierre Wigneron,et al.  Modeling Forest Emissivity at L-Band and a Comparison With Multitemporal Measurements , 2007, IEEE Geoscience and Remote Sensing Letters.

[18]  Yann Kerr,et al.  Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission , 2001, IEEE Trans. Geosci. Remote. Sens..

[19]  Robert M. Parinussa,et al.  Soil Moisture Retrievals From the WindSat Spaceborne Polarimetric Microwave Radiometer , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Emanuele Santi,et al.  Ground-Based Microwave Investigations of Forest Plots in Italy , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Simonetta Paloscia,et al.  Microwave vegetation indexes for detecting biomass and water conditions of agricultural crops , 1992 .

[22]  Arnaud Mialon,et al.  The SMOS Soil Moisture Retrieval Algorithm , 2012, IEEE Transactions on Geoscience and Remote Sensing.