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Titel |
Improving arable land heterogeneity information in available land cover products for land surface modelling using MERIS NDVI data |
VerfasserIn |
F. Zabel, T. B. Hank, W. Mauser |
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. 10 ; Nr. 14, no. 10 (2010-10-26), S.2073-2084 |
Datensatznummer |
250012455
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Publikation (Nr.) |
copernicus.org/hess-14-2073-2010.pdf |
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Zusammenfassung |
Regionalization of physical land surface models requires the supply of
detailed land cover information. Numerous global and regional land cover maps
already exist but generally, they do not resolve arable land into different
crop types. However, arable land comprises a huge variety of different crops
with characteristic phenological behaviour, demonstrated in this paper with
Leaf Area Index (LAI) measurements exemplarily for maize and winter wheat.
This affects the mass and energy fluxes on the land surface and thus its
hydrology. The objective of this study is the generation of a land cover map
for central Europe based on CORINE Land Cover (CLC) 2000, merged with CORINE
Switzerland, but distinguishing different crop types. Accordingly, an
approach was developed, subdividing the land cover class arable land into the
regionally most relevant subclasses for central Europe using multiseasonal
MERIS Normalized Difference Vegetation Index (NDVI) data. The satellite data
were used for the separation of spring and summer crops due to their
different phenological behaviour. Subsequently, the generated phenological
classes were subdivided following statistical data from EUROSTAT. This
database was analysed concerning the acreage of different crop types. The
impact of the improved land use/cover map on evapotranspiration was modelled
exemplarily for the Upper Danube catchment with the hydrological model
PROMET. Simulations based on the newly developed land cover approach showed a
more detailed evapotranspiration pattern compared to model results using the
traditional CLC map, which is ignorant of most arable subdivisions. Due to
the improved temporal behaviour and spatial allocation of evapotranspiration
processes in the new land cover approach, the simulated water balance more
closely matches the measured gauge. |
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