Abstract
Developed tools of Remote Sensing and Geographic Information System are rapidly spread in recent years in order to manage natural resources and to monitor environmental changes. This research aims to study the spatial behavior of the Dead Sea through time. To achieve this aim, time series analysis has been performed to track this behavior. For this purpose, fifteen satellite imageries are collected from 1972 to 2013 in addition to 2011-ASTGTM-DEM. Then, the satellite imageries are radiometrically and atmospherically corrected. Geographic Information system and Remote Sensing techniques are used for the spatio-temporal analysis in order to detect changes in the Dead Sea area, shape, water level, and volume. The study shows that the Dead Sea shrinks by 2.9 km2/year while the water level decreases by 0.65 m/year. Consequently, the volume changes by –0.42 km3/year. The study has also concluded that the direction of this shrinkage is from the north, northwest and from the south direction of the northern part due to the nature of the bathymetric slopes. In contrast, no shrinkage is detected from the east direction due to the same reason since the bathymetric slope is so sharp. The use of the Dead Sea water for industrial purposes by both Israel and Jordan is one of the essential factors that affect the area of the Dead Sea. The intensive human water consumption from the Jordan and Yarmouk Rivers for other usages is another main reason of this shrinkage in the area as well.
Highlights
Understanding changes in wetlands, land-uses, seashores and vegetation areas over time is essential to many as-How to cite this paper: El-Hallaq, M.A. and Habboub, M.O. (2014) Using GIS for Time Series Analysis of the Dead Sea from Remotely Sensing Data
Since 1978, the Dead Sea has retreated, and the sea body turned into two basins: The principal northern one that is about 308 m deep, and the shallow southern one with the Lisan Peninsula and the Lynch Straits in between, which has a sill elevation of about 400 m below the sea level [14]
The following points describe the methodology followed by the researchers: 1) Satellite imageries are collected based on the criteria shown ; 2) All the imageries are pre-processed and normalized by converting Digital Number (DN) to spectral radiance
Summary
Understanding changes in wetlands, land-uses, seashores and vegetation areas over time is essential to many as-How to cite this paper: El-Hallaq, M.A. and Habboub, M.O. (2014) Using GIS for Time Series Analysis of the Dead Sea from Remotely Sensing Data. Understanding changes in wetlands, land-uses, seashores and vegetation areas over time is essential to many as-. How to cite this paper: El-Hallaq, M.A. and Habboub, M.O. (2014) Using GIS for Time Series Analysis of the Dead Sea from Remotely Sensing Data. Open Journal of Civil Engineering, 4, 386-396. O. Habboub pects of engineering, geographic and planning researches. Interpretation and analysis of remotely sensed imagery require an understanding of the processes that determine the relationships between the property the sensor measures and the surface properties we are interested in identifying and studying [1]
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