Bare Surface Soil Moisture Estimation Using Double-Angle and Dual-Polarization L-Band Radar Data

Based on today's most widely used surface scattering model, the advanced integral equation model (AIEM), this study proposes a novel soil moisture inversion model that estimates bare surface soil moisture using double-incidence angle and dual-polarized L-band radar data. Compared with previous studies at L-/C-band, the proposed method provides the estimation of soil moisture without referring to the measured soil roughness and eliminates the requirement of an initial dry season condition. The root-mean-square error (rmse) of volumetric soil moisture varies from 0.8% to 3.2% at different incidence-angle combinations validated by simulated solving and from 4.0% to 7.9% by field measurements when the paired incidence angles are not both large. In case the paired angels are both large, not particularly suitable for soil moisture estimation, the rmse increases to 10.3%. Therefore, this method is applicable to bare surface soil moisture retrieval when at least one of the incidence angles is not large.

[1]  E. Pottier,et al.  Polarimetric Radar Imaging: From Basics to Applications , 2009 .

[2]  M. Zribi,et al.  A new empirical model to retrieve soil moisture and roughness from C-band radar data , 2003 .

[3]  Shaohua Zhao,et al.  Orientation Angle Calibration for Bare Soil Moisture Estimation Using Fully Polarimetric SAR Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Thomas J. Jackson,et al.  Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data , 2008 .

[5]  Mehrez Zribi,et al.  Analysis of Surface Roughness Heterogeneity and Scattering Behavior for Radar Measurements , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Harold C. MacDonald,et al.  Soil Moisture Detection with Imaging Radars , 1971 .

[7]  Pascale C. Dubois,et al.  Measuring soil moisture with imaging radars , 1995, IEEE Trans. Geosci. Remote. Sens..

[8]  Philipp Birken,et al.  Numerical Linear Algebra , 2011, Encyclopedia of Parallel Computing.

[9]  A. Fung.  Microwave Scattering and Emission Models and their Applications , 1994 .

[10]  Qin Li,et al.  Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations , 2003, IEEE Trans. Geosci. Remote. Sens..

[11]  Kamal Sarabandi,et al.  Semi-empirical model of the ensemble-averaged differential Mueller matrix for microwave backscattering from bare soil surfaces , 2002, IEEE Trans. Geosci. Remote. Sens..

[12]  Henri-José Mametsa,et al.  Application of IEM and radiative transfer formulations for bistatic scattering of rough surfaces , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[13]  Yisok Oh,et al.  Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Adriano Camps,et al.  A Change Detection Algorithm for Retrieving High-Resolution Soil Moisture From SMAP Radar and Radiometer Observations , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Jiancheng Shi,et al.  A transition model for the reflection coefficient in surface scattering , 2001, IEEE Trans. Geosci. Remote. Sens..

[16]  Adriaan A. Van de Griend,et al.  Comparison of soil moisture penetration depths for several bare soils at two microwave frequencies and implications for remote sensing , 1998 .

[17]  Richard K. Moore,et al.  Microwave Remote Sensing, Active and Passive , 1982 .

[18]  Jiancheng Shi,et al.  A Study of an AIEM Model for Bistatic Scattering From Randomly Rough Surfaces , 2008, IEEE Transactions on Geoscience and Remote Sensing.

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

[20]  Jakob J. van Zyl,et al.  A Time-Series Approach to Estimate Soil Moisture Using Polarimetric Radar Data , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[21]  M. Mancini,et al.  Retrieving Soil Moisture Over Bare Soil from ERS 1 Synthetic Aperture Radar Data: Sensitivity Analysis Based on a Theoretical Surface Scattering Model and Field Data , 1996 .

[22]  Jiancheng Shi,et al.  Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data , 1997, IEEE Trans. Geosci. Remote. Sens..

[23]  Evgenii Mikhailovich Lifshitz,et al.  SCATTERING OF ELECTROMAGNETIC WAVES , 1984 .

[24]  Jose Luis Alvarez-Perez.  An extension of the IEM/IEMM surface scattering model , 2001 .

[25]  C. Ottlé,et al.  Evaluation of the ERS 1/Synthetic Aperture Radar Capacity to Estimate Surface Soil Moisture: Two-Year Results Over the Naizin Watershed , 1995 .

[26]  Jakob J. van Zyl,et al.  Soil Moisture Retrieval Using Time-Series Radar Observations Over Bare Surfaces , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[27]  J. Kong.  Scattering of Electromagnetic Waves , 2021, Principles of Scattering and Transport of Light.

[28]  Rajat Bindlish,et al.  Multifrequency Soil Moisture Inversion from SAR Measurements with the Use of IEM , 2000 .

[29]  Niko E. C. Verhoest,et al.  A possibilistic approach to soil moisture retrieval from ERS synthetic aperture radar backscattering under soil roughness uncertainty , 2007 .

[30]  Thian Yew Gan,et al.  Retrieving near‐surface soil moisture from Radarsat SAR data , 1999 .

[31]  Fawwaz T. Ulaby,et al.  Dielectric properties of soils in the 0.3-1.3-GHz range , 1995, IEEE Trans. Geosci. Remote. Sens..

[32]  Yong Fan,et al.  Empirically Adopted IEM for Retrieval of Soil Moisture From Radar Backscattering Coefficients , 2009, IEEE Transactions on Geoscience and Remote Sensing.