Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters

Surface roughness is an important factor in many soil moisture retrieval models. Therefore, any mischaracterization of surface roughness parameters (root mean square height, RMSH, and correlation length, ʅ) may result in unreliable predictions and soil moisture estimations. In many environments, but...

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Main Authors: Zohreh Alijani, John Lindsay, Melanie Chabot, Tracy Rowlandson, Aaron Berg
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/11/2210
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author Zohreh Alijani
John Lindsay
Melanie Chabot
Tracy Rowlandson
Aaron Berg
author_facet Zohreh Alijani
John Lindsay
Melanie Chabot
Tracy Rowlandson
Aaron Berg
author_sort Zohreh Alijani
collection DOAJ
description Surface roughness is an important factor in many soil moisture retrieval models. Therefore, any mischaracterization of surface roughness parameters (root mean square height, RMSH, and correlation length, ʅ) may result in unreliable predictions and soil moisture estimations. In many environments, but particularly in agricultural settings, surface roughness parameters may show different behaviours with respect to the orientation or azimuth. Consequently, the relationship between SAR polarimetric variables and surface roughness parameters may vary depending on measurement orientation. Generally, roughness obtained for many SAR-based studies is estimated using pin profilers that may, or may not, be collected with careful attention to orientation to the satellite look angle. In this study, we characterized surface roughness parameters in multi-azimuth mode using a terrestrial laser scanner (TLS). We characterized the surface roughness parameters in different orientations and then examined the sensitivity between polarimetric variables and surface roughness parameters; further, we compared these results to roughness profiles obtained using traditional pin profilers. The results showed that the polarimetric variables were more sensitive to the surface roughness parameters at higher incidence angles (θ). Moreover, when surface roughness measurements were conducted at the look angle of RADARSAT-2, more significant correlations were observed between polarimetric variables and surface roughness parameters. Our results also indicated that TLS can represent more reliable results than pin profiler in the measurement of the surface roughness parameters.
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spelling doaj.art-06021dc6bc194b14a45ff1f08b9b0b452023-11-21T22:54:02ZengMDPI AGRemote Sensing2072-42922021-06-011311221010.3390/rs13112210Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness ParametersZohreh Alijani0John Lindsay1Melanie Chabot2Tracy Rowlandson3Aaron Berg4Department of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, CanadaDepartment of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, CanadaDepartment of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, CanadaDepartment of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, CanadaDepartment of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, CanadaSurface roughness is an important factor in many soil moisture retrieval models. Therefore, any mischaracterization of surface roughness parameters (root mean square height, RMSH, and correlation length, ʅ) may result in unreliable predictions and soil moisture estimations. In many environments, but particularly in agricultural settings, surface roughness parameters may show different behaviours with respect to the orientation or azimuth. Consequently, the relationship between SAR polarimetric variables and surface roughness parameters may vary depending on measurement orientation. Generally, roughness obtained for many SAR-based studies is estimated using pin profilers that may, or may not, be collected with careful attention to orientation to the satellite look angle. In this study, we characterized surface roughness parameters in multi-azimuth mode using a terrestrial laser scanner (TLS). We characterized the surface roughness parameters in different orientations and then examined the sensitivity between polarimetric variables and surface roughness parameters; further, we compared these results to roughness profiles obtained using traditional pin profilers. The results showed that the polarimetric variables were more sensitive to the surface roughness parameters at higher incidence angles (θ). Moreover, when surface roughness measurements were conducted at the look angle of RADARSAT-2, more significant correlations were observed between polarimetric variables and surface roughness parameters. Our results also indicated that TLS can represent more reliable results than pin profiler in the measurement of the surface roughness parameters.https://www.mdpi.com/2072-4292/13/11/2210surface roughnessorientationsensitivity analysisradar parameters
spellingShingle Zohreh Alijani
John Lindsay
Melanie Chabot
Tracy Rowlandson
Aaron Berg
Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters
Remote Sensing
surface roughness
orientation
sensitivity analysis
radar parameters
title Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters
title_full Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters
title_fullStr Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters
title_full_unstemmed Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters
title_short Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters
title_sort sensitivity of c band sar polarimetric variables to the directionality of surface roughness parameters
topic surface roughness
orientation
sensitivity analysis
radar parameters
url https://www.mdpi.com/2072-4292/13/11/2210
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