Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles

In the past decades, many studies on soil moisture retrieval from SAR demonstrated a poor correlation between the top layer soil moisture content and observed backscatter coefficients, which mainly has been attributed to difficulties involved in the parameterization of surface roughness. The present...

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Main Authors: Bernard De Baets, Jesús Álvarez-Mozos, Hilde Vernieuwe, Hans Lievens, Niko E.C. Verhoest
Format: Article
Language:English
Published: MDPI AG 2009-02-01
Series:Sensors
Subjects:
SAR
Online Access:http://www.mdpi.com/1424-8220/9/2/1067/
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spelling doaj-08ee64e992474dffa742ad4a165bc8f82020-11-25T00:33:43ZengMDPI AGSensors1424-82202009-02-01921067109310.3390/s90201067Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface ProfilesBernard De BaetsJesús Álvarez-MozosHilde VernieuweHans LievensNiko E.C. VerhoestIn the past decades, many studies on soil moisture retrieval from SAR demonstrated a poor correlation between the top layer soil moisture content and observed backscatter coefficients, which mainly has been attributed to difficulties involved in the parameterization of surface roughness. The present paper describes a theoretical study, performed on synthetical surface profiles, which investigates how errors on roughness parameters are introduced by standard measurement techniques, and how they will propagate through the commonly used Integral Equation Model (IEM) into a corresponding soil moisture retrieval error for some of the currently most used SAR configurations. Key aspects influencing the error on the roughness parameterization and consequently on soil moisture retrieval are: the length of the surface profile, the number of profile measurements, the horizontal and vertical accuracy of profile measurements and the removal of trends along profiles. Moreover, it is found that soil moisture retrieval with C-band configuration generally is less sensitive to inaccuracies in roughness parameterization than retrieval with L-band configuration. http://www.mdpi.com/1424-8220/9/2/1067/SARsoil moisturesoil roughness parameterization
collection DOAJ
language English
format Article
sources DOAJ
author Bernard De Baets
Jesús Álvarez-Mozos
Hilde Vernieuwe
Hans Lievens
Niko E.C. Verhoest
spellingShingle Bernard De Baets
Jesús Álvarez-Mozos
Hilde Vernieuwe
Hans Lievens
Niko E.C. Verhoest
Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles
Sensors
SAR
soil moisture
soil roughness parameterization
author_facet Bernard De Baets
Jesús Álvarez-Mozos
Hilde Vernieuwe
Hans Lievens
Niko E.C. Verhoest
author_sort Bernard De Baets
title Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles
title_short Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles
title_full Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles
title_fullStr Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles
title_full_unstemmed Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles
title_sort error in radar-derived soil moisture due to roughness parameterization: an analysis based on synthetical surface profiles
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2009-02-01
description In the past decades, many studies on soil moisture retrieval from SAR demonstrated a poor correlation between the top layer soil moisture content and observed backscatter coefficients, which mainly has been attributed to difficulties involved in the parameterization of surface roughness. The present paper describes a theoretical study, performed on synthetical surface profiles, which investigates how errors on roughness parameters are introduced by standard measurement techniques, and how they will propagate through the commonly used Integral Equation Model (IEM) into a corresponding soil moisture retrieval error for some of the currently most used SAR configurations. Key aspects influencing the error on the roughness parameterization and consequently on soil moisture retrieval are: the length of the surface profile, the number of profile measurements, the horizontal and vertical accuracy of profile measurements and the removal of trends along profiles. Moreover, it is found that soil moisture retrieval with C-band configuration generally is less sensitive to inaccuracies in roughness parameterization than retrieval with L-band configuration.
topic SAR
soil moisture
soil roughness parameterization
url http://www.mdpi.com/1424-8220/9/2/1067/
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