 |
| Titel |
Physically based retrieval of crop characteristics for improved water use estimates |
| VerfasserIn |
K. Richter, W. J. Timmermans |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 5 ; Nr. 13, no. 5 (2009-05-27), S.663-674 |
| Datensatznummer |
250011865
|
| Publikation (Nr.) |
 copernicus.org/hess-13-663-2009.pdf |
|
|
|
|
|
| Zusammenfassung |
| The increasing scarcity of water from local to global scales requires the
efficient monitoring of this valuable resource, especially in the context of
a sustainable management in irrigated agriculture. In this study, a
two-source energy balance model (TSEB) was applied to the Barrax test site.
The inputs of leaf area index (LAI) and fractional vegetation cover (fCover) were
estimated from CHRIS imagery by using the traditional scaled NDVI and a look-up
table (LUT) inversion approach. The LUT was constructed by using the well
established SAILH + PROSPECT radiative transfer model. Simulated fluxes were
compared with tower measurements and vegetation characteristics were
evaluated with in situ LAI and fCover measurements of a range of crops from the SPARC
campaign 2004. Results showed a better retrieval performance for the LUT
approach for canopy parameters, affecting flux predictions that were related
to land use. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|