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| Titel |
Spatial evapotranspiration, rainfall and land use data in water accounting – Part 1: Review of the accuracy of the remote sensing data |
| VerfasserIn |
P. Karimi, W. G. M. Bastiaanssen |
| 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 ; 19, no. 1 ; Nr. 19, no. 1 (2015-01-28), S.507-532 |
| Datensatznummer |
250120606
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| Publikation (Nr.) |
 copernicus.org/hess-19-507-2015.pdf |
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| Zusammenfassung |
| The scarcity of water encourages scientists to develop new analytical tools
to enhance water resource management. Water accounting and distributed
hydrological models are examples of such tools. Water accounting needs
accurate input data for adequate descriptions of water distribution and
water depletion in river basins. Ground-based observatories are decreasing,
and not generally accessible. Remote sensing data is a suitable alternative
to measure the required input variables. This paper reviews the reliability
of remote sensing algorithms to accurately determine the spatial
distribution of actual evapotranspiration, rainfall and land use. For our
validation we used only those papers that covered study periods of
seasonal to annual cycles because the accumulated water balance is the primary
concern. Review papers covering shorter periods only (days, weeks) were not
included in our review. Our review shows that by using remote sensing, the
absolute values of evapotranspiration can be estimated with an overall
accuracy of 95% (SD 5%) and rainfall with an overall absolute
accuracy of 82% (SD 15%). Land use can be identified with an overall
accuracy of 85% (SD 7%). Hence, more scientific work is needed to
improve the spatial mapping of rainfall and land use using multiple
space-borne sensors. While not always perfect at all spatial and temporal
scales, seasonally accumulated actual evapotranspiration maps can be used
with confidence in water accounting and hydrological modeling. |
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