Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Ghebreyesus, Dawit T., Temimi, Marouane, Fares, Ali, and Bayabil, Haimanote K., 2016. A Multi-Satellite Approach for Water Storage Monitoring in an Arid Watershed. Geosciences, 6(3):33, doi:10.3390/geosciences6030033.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2016Geosc...6...33G,
author = {{Ghebreyesus}, Dawit T. and {Temimi}, Marouane and {Fares}, Ali and {Bayabil}, Haimanote K.},
title = "{A Multi-Satellite Approach for Water Storage Monitoring in an Arid Watershed}",
journal = {Geosciences},
keywords = {GRACE, Water Budget, Landsat, evapotranspiration, UAE, water resources},
year = 2016,
month = jul,
volume = {6},
number = {3},
eid = {33},
pages = {33},
abstract = "{The objective of this study was to use satellite imagery to monitor the
water budget of Al Ain region in the United Arab Emirates (UAE).
Inflows and outflows were estimated and the trend of water
storage variation in the study area was examined from 2005 to
2014. Evapotranspiration was estimated using the simplified
Penman-Monteith equation. Landsat images were used to determine
the extent of agricultural and green areas. Time series of
gravity recovery and climate experiment (GRACE) observations
over the study area were used to assess the inferred water
storage variation from satellite data. The change of storage
inferred from the Water Budget Equation showed a decreasing
trend at an average rate of 2.57 Mm$^{3}$ annually. Moreover,
GRACE readings showed a decreasing trend at a rate of 0.35 cm of
water depth annually. Mann-Kendal, a non-parametric trend test,
proved the presence of significant negative trends in both time
series at a 5\% significance level. A two-month lag resulted in
a better agreement (R$^{2}$ = 0.55) between the change in water
storage and GRACE anomalies within the study area. These results
suggest that water storage in the study area is being depleted
significantly. Moreover, the potential of remote sensing in
water resource management, especially in remote and arid areas,
was demonstrated.}",
doi = {10.3390/geosciences6030033},
adsurl = {https://ui.adsabs.harvard.edu/abs/2016Geosc...6...33G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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