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| Titel |
Assessing the potential of Landsat 8 OLI for retrieving salinity in the
hypersaline Arabian Gulf |
| VerfasserIn |
Jun Zhao, Marouane Temimi |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250136208
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| Publikation (Nr.) |
 EGU/EGU2016-17195.pdf |
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| Zusammenfassung |
| The Arabian Gulf, located in an arid region in the Middle East, has high salinity that can
exceed 43 practical salinity units (psu) due to its special conditions, such as high
evaporation, low precipitation, and desalination discharge. In this study, a regional
algorithm was developed to retrieve salinity using in situ measurements conducted
between June 2013 and November 2014 along the western coast of Abu Dhabi,
United Arab Emirates (UAE). A multivariate linear regression model using the
visible bands of Operational Land Imager (OLI) was proposed and indicated good
performance with a determination coefficient (R2) of 0.7. The algorithm was then applied
to an OLI scene, which revealed the spatial distribution of salinity over the study
area. The findings are favorable for better interpretation of the complex water mass
exchange between the Arabian Gulf and the Sea of Oman through the Strait of Hormuz,
validating salinity from numerical models, studying the effects of anthropogenic
activities and climate change on ecosystem in the hypersaline Arabian Gulf, etc. |
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