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| Titel |
How to identify groundwater-caused thermal anomalies in lakes based on multi-temporal satellite data in semi-arid regions |
| VerfasserIn |
U. Mallast, R. Gloaguen, J. Friesen, T. Rödiger, S. Geyer, R. Merz, C. Siebert |
| 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 ; 18, no. 7 ; Nr. 18, no. 7 (2014-07-31), S.2773-2787 |
| Datensatznummer |
250120420
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| Publikation (Nr.) |
 copernicus.org/hess-18-2773-2014.pdf |
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| Zusammenfassung |
The deduction by conventional means of qualitative and quantitative information about groundwater
discharge into lakes is complicated. Nevertheless, at
least for semi-arid regions with limited surface water availability, this
information is crucial to ensure future water availability for drinking and
irrigation purposes.
Overcoming this lack of discharge information, we present a satellite-based
multi-temporal sea-surface-temperature (SST) approach. It exploits the
occurrence of thermal anomalies to outline groundwater discharge locations
using the example of the Dead Sea. Based on a set of 19 Landsat Enhanced Thematic Mapper (ETM+) images
6.2 (high gain), recorded between 2000 and 2002, we developed a novel
approach which includes (i) an objective exclusion of surface-runoff-influenced data which would otherwise lead to erroneous results and (ii) a
temporal SST variability analysis based on six statistical measures
amplifying thermal anomalies caused by groundwater.
After excluding data influenced by surface runoff, we concluded that spatial
anomaly patterns of the standard deviation and range of the SST data series
spatially fit best to in situ observed discharge locations and, hence, are
most suitable for detecting groundwater discharge sites. |
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