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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Alijani, Z., Lindsay, J., Chabot, M., Rowlandson, T., & Berg, A.
Title
Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters
Year
2021
Publication Outlet
Remote Sensing, 13(11), 2210
DOI
https://doi.org/10.3390/rs13112210
Citation
Alijani, Z., Lindsay, J., Chabot, M., Rowlandson, T., & Berg, A. (2021). Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters. Remote Sensing, 13(11), 2210.
Abstract
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.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-TSTSW: Transformative Sensor Technologies and Smart Watersheds
Publication Stage
Published
Additional Information
TTSW, Refereed Publications
Download Links
https://doi.org/10.3390/rs13112210
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