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| Titel |
Effective roughness modelling as a tool for soil moisture retrieval from C- and L-band SAR |
| VerfasserIn |
H. Lievens, N. E. C. Verhoest, E. Keyser, H. Vernieuwe, P. Matgen, J. Álvarez-Mozos, B. Baets |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 15, no. 1 ; Nr. 15, no. 1 (2011-01-17), S.151-162 |
| Datensatznummer |
250012592
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| Publikation (Nr.) |
 copernicus.org/hess-15-151-2011.pdf |
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| Zusammenfassung |
| Soil moisture retrieval from Synthetic Aperture Radar (SAR) using
state-of-the-art back\-scatter models is not fully operational at present,
mainly due to difficulties involved in the parameterisation of soil surface
roughness. Recently, increasing interest has been drawn to the use of
calibrated or effective roughness parameters, as they circumvent issues known
to the parameterisation of field-measured roughness. This paper analyses
effective roughness parameters derived from C- and L-band SAR observations
over a large number of agricultural seedbed sites in Europe. It shows that
param\-eters may largely differ between SAR acquisitions, as they are related
to the observed backscatter coefficients and variations in the local
incidence angle. Therefore, a statistical model is developed that allows for
estimating effective roughness parameters from microwave backscatter
observations. Subsequently, these parameters can be propagated through the
Integral Equation Model (IEM) for soil moisture retrieval. It is shown that
fairly accurate soil moisture results are obtained both at C- and L-band,
with an RMSE ranging between 4 vol% and 6.5 vol%. |
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