A Model of Surface Roughness for Use in Passive Remote Sensing of Bare Soil Moisture

Spaceborne radiometers operating near 1.4 GHz are the primary instrument for recent efforts to remotely sense nearsurface soil moisture around the globe. Generally, these instruments must contend with the effects of vegetation growing in the soil. However, an important first step is to model the measurements made by a radiometer that is viewing bare (vegetation-free) soil. The proposed model uses a matching layer and a random depolarizer to describe bare soil surface roughness and some aspects of antenna beamwidth. The model suggests that the effects of nearsurface soil moisture and roughness upon the radiometer measurement are more distinct than is currently thought. Furthermore, it appears that both moisture and roughness can be retrieved from a single set of radiometer measurements made at orthogonal linear polarizations. This retrieval precision is predicted to be poor at soil observation angles near nadir but improves for larger angles. At observation angles near 50°, the vertically polarized radiometer measurements are predicted to be nearly insensitive to roughness. A convenient parameterization of the model is provided and permits quick implementation.

[1]  D. M. Le Vine Aquarius: The Instrument and Initial Results , 2012 .

[2]  Yann Kerr,et al.  ESA's Soil Moisture and Ocean Salinity Mission: Mission Performance and Operations , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Sb Ras,et al.  Temperature and Mineralogy Dependable Model for Microwave Dielectric Spectra of Moist Soils , 2009 .

[4]  W. Rawls,et al.  Estimating generalized soil-water characteristics from texture , 1986 .

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

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

[7]  Irena Hajnsek,et al.  Inversion of surface parameters from polarimetric SAR , 2003, IEEE Trans. Geosci. Remote. Sens..

[8]  Dara Entekhabi,et al.  The NASA Soil Moisture Active Passive (SMAP) mission formulation , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[9]  Richard K. Moore,et al.  Microwave remote sensing fundamentals and radiometry , 1981 .

[10]  F. J. Wentz,et al.  New algorithms for microwave measurements of ocean winds , 1984 .

[11]  James B. Mead,et al.  Improved Models of Soil Emission for Use in Remote Sensing of Soil Moisture , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Soil moisture estimation using L-band radiometry , 2009 .

[13]  Jean-Pierre Wigneron,et al.  Estimating the Effective Soil Temperature at L-Band as a Function of Soil Properties , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Anthony W. England,et al.  A land surface process/radiobrightness model with coupled heat and moisture transport for prairie grassland , 1999, IEEE Trans. Geosci. Remote. Sens..

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

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

[17]  James R. Wang,et al.  Multifrequency Measurements of the Effects of Soil Moisture, Soil Texture, And Surface Roughness , 1983, IEEE Transactions on Geoscience and Remote Sensing.