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| Titel |
Accounting for seasonality in a soil moisture change detection algorithm for ASAR Wide Swath time series |
| VerfasserIn |
J. Doninck, J. Peters, H. Lievens, B. Baets, N. E. C. Verhoest |
| 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 ; 16, no. 3 ; Nr. 16, no. 3 (2012-03-08), S.773-786 |
| Datensatznummer |
250013210
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| Publikation (Nr.) |
 copernicus.org/hess-16-773-2012.pdf |
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| Zusammenfassung |
| A change detection algorithm is applied on a three year time series of ASAR
Wide Swath images in VV polarization over Calabria, Italy, in order to derive
information on temporal soil moisture dynamics. The algorithm, adapted from
an algorithm originally developed for ERS scatterometer, was validated using
a simple hydrological model incorporating meteorological and pedological
data. Strong positive correlations between modelled soil moisture and ASAR
soil moisture were observed over arable land, while the correlation became
much weaker over more vegetated areas. In a second phase, an attempt was made
to incorporate seasonality in the different model parameters. It was observed
that seasonally changing surface properties mainly affected the multitemporal
incidence angle normalization. When applying a seasonal angular
normalization, correlation coefficients between modelled soil moisture and
retrieved soil moisture increased overall. Attempts to account for
seasonality in the other model parameters did not result in an improved
performance. |
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