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Detailed JavaScript API for Google Earth Engine to Enhance Monitoring of Surface Water Dynamics in the Drought-Affected Mediterranean Region
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Author(s): Adil Moumane (University Ibn Tofail, Morocco), Jamal Al Karkouri (Ibn Tofail University, Morocco)and Batchi Mouhcine (University Ibn Tofail, Morocco)
Copyright: 2025
Pages: 28
Source title:
Remote Sensing and GIS Techniques in Hydrology
Source Author(s)/Editor(s): Mouhcine Batchi (Ibn Tofail University, Morocco)and Adil Moumane (University of Ibn Tofail, Morocco)
DOI: 10.4018/979-8-3693-9651-3.ch004
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Abstract
This study focuses on monitoring surface water dynamics in the Mediterranean region, a region increasingly grappling with water scarcity. The authors analyzed five dams—Al Massira and Mansour Eddahbi in Morocco, Sidi Salem in Tunisia, Sau Reservoir in Spain, and Cabril Dam in Portugal—using a custom JavaScript API developed for Google Earth Engine (GEE). This API enabled efficient processing of Landsat satellite imagery to calculate annual average water areas and extract representative water body images. The findings reveal significant reductions in water area across all studied reservoirs, underscoring the impact of prolonged drought conditions on water availability in the region. The Al Massira Dam in Morocco experienced the most pronounced decline. This research emphasizes the critical role of advanced remote sensing tools in supporting water resource management and policymaking in the Mediterranean region.
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