| Issue |
E3S Web Conf.
Volume 489, 2024
4th International GIRE3D Congress “Participatory and Integrated Management of Water Resources in Arid Zones” (GIRE3D 2023)
|
|
|---|---|---|
| Article Number | 04014 | |
| Number of page(s) | 6 | |
| Section | Numerical Modeling, Remote Sensing, Geomatic & Application of Intelligence Artificielle | |
| DOI | https://doi.org/10.1051/e3sconf/202448904014 | |
| Published online | 09 February 2024 | |
Long-term spatiotemporal surface water dynamics using Google Earth Engine in southeastern Morocco
1 Department of Earth Sciences, Faculty of Sciences and Technologies of Tangier (FSTT), Abdelmalek Essaadi University, Tetouan 93000, Morocco
2 Natural Resources & Sustainable Development Laboratory, Earth Sciences Department, Faculty of Sciences, Ibn Tofail University, Kenitra 14000, Morocco
* Corresponding author: sacharkis@gmail.com
Monitoring changes in water areas within arid regions is vital for directing water resource development and ensuring efficient use, and addressing the impacts of drought and climate change. Thus, in this research, we examined the annual changes in surface water at the El Mansour Eddahbi (EME) dam (southeastern Morocco) from 1984 to 2023. To achieve this, we exploited the Google Earth Engine’s potential and applied four water indices – MNDWI, EWI, NWI, and AWEI – to Landsat satellite images. Subsequently, for each year, a supervised classification utilizing random forest was implemented to accurately extract and identify water areas. The findings revealed that the EME dam’s water surface area fluctuates substantially on an inter-annual basis. Besides, Pearson’s analysis demonstrates that the EME dam’s water surface area has a strong positive correlation with drought indices such as SPI-12 and SPEI-12. This highlights the link between changing surface water, drought, and the need for adaptive water management under climate change.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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