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| Titel |
An inversion method based on multi-angular approaches for estimating bare soil surface parameters from RADARSAT-1 |
| VerfasserIn |
M. R. Sahebi, J. Angles |
| 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 ; 14, no. 11 ; Nr. 14, no. 11 (2010-11-30), S.2355-2366 |
| Datensatznummer |
250012489
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| Publikation (Nr.) |
 copernicus.org/hess-14-2355-2010.pdf |
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| Zusammenfassung |
The radar signal recorded by earth observation (EO) satellites is sensitive
to soil moisture and surface roughness, which both influence the onset of
runoff.
This paper focuses on inversion of these parameters using a multi-angular
approach based on RADARSAT-1 data with incidence angles of 35° and
47° (in mode S3 and S7). This inversion was performed with three
backscatter models: Geometrical Optics Model (GOM), Oh Model (OM), and
Modified Dubois Model (MDM), which were compared to obtain the best
configuration. Mean absolute errors of 1.23, 1.12, and 2.08 cm for roughness
expressed in rms height and for dielectric constant, mean absolute errors of
2.46 – equal to 3.88 (m3 m−3) in volumetric soil moisture, –
4.95 – equal to 8.72 (m3 m−3) in volumetric soil moisture – and
3.31 – equal to 6.03 (m3 m−3) in volumetric soil moisture – were obtained for the
MDM, GOM, and OM simulation, respectively. These results indicate that the
MDM provided the most accurate data with minimum errors. Therefore, the
latter inversion algorithm was applied to images, and the final results are
presented in two different maps showing pixel and homogeneous zones for
surface roughness and soil moisture. |
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