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| Titel |
Combined use of FORMOSAT-2 images with a crop model for biomass and water monitoring of permanent grassland in Mediterranean region |
| VerfasserIn |
D. Courault, R. Hadria, F. Ruget, A. Olioso, B. Duchemin, O. Hagolle, G. Dedieu |
| 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. 9 ; Nr. 14, no. 9 (2010-09-09), S.1731-1744 |
| Datensatznummer |
250012421
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| Publikation (Nr.) |
 copernicus.org/hess-14-1731-2010.pdf |
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| Zusammenfassung |
The aim of this study is to propose methods to improve crop and water
management in Mediterranean regions. At landscape scale, there is a spatial variability of agricultural practices, particularly for
grasslands irrigated by flooding. These grasslands are harvested three times
per year and produce high quality hay, but their productions decreased
significantly during the last few years because of the water scarcity. It is
therefore important to assess the real water requirement for crops in order
to predict productions in the case of agricultural practice modifications.
Until now, the spatial variability of agricultural practices was obtained
through surveys from farmers, but this method was tedious to describe an
entire region. Thus, the specific aim of the study is to develop and assess a new
method based on a crop model for estimating water balance and crop yield constrained by products derived from optical remote sensing data with high spatio-temporal resolution.
A methodology, based on the combined use of FORMOSAT-2 images
and the STICS crop model, was developed to estimate production, evapotranspiration and drainage
of irrigated grasslands in "the Crau" region in the South Eastern France.
Numerous surveys and ground measurements were performed during an experiment
conducted in 2006. Simple algorithms were developed to retrieve the dynamic
of Leaf Area Index (LAI) for each plot and the main agricultural practices
such as mowing and irrigation dates. These variables computed from remote sensing were then used to
parameterize STICS, applied at region scale to estimate the spatial
variability of water budget associated with the biomass productions. Results
are displayed at the farm scale. Satisfactory results were obtained when
compared to ground measurements. The method for the extrapolation to other
regions or crops is discussed as regard to data available. |
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