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Article

Land Use/Land Cover Changes Impact on Groundwater Level and Quality in the Northern Part of the United Arab Emirates

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GIS and Mapping Laboratory, American University of Sharjah, Sharjah P.O. Box 26666, UAE
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Civil and Environmental Engineering Department, United Arab Emirates University, Al-Ain P.O. Box 15551, UAE
3
Civil Engineering Department, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, UAE
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(11), 1715; https://doi.org/10.3390/rs12111715
Received: 7 April 2020 / Revised: 15 May 2020 / Accepted: 24 May 2020 / Published: 27 May 2020
This study aims to develop an integrated approach for mapping and monitoring land use/land cover (LULC) changes and to investigate the impacts of LULC changes and population growth on groundwater level and quality using Landsat images and hydrological information in a Geographic information system (GIS) environment. All Landsat images (1990, 2000, 2010, and 2018) were classified using a support vector machine (SVM) and spectral analysis mapper (SAM) classifiers. The result of validation metrics, including precision, recall, and F1, indicated that the SVM classier has a better performance than SAM. The obtained LULC maps have an overall accuracy of more than 90%. Each pair of enhanced LULC maps (1990–2000, 2000–2010, 2010–2018, and 1990–2018) were used as input data for an image difference algorithm to monitor LULC changes. Maps of change detection were then imported into a GIS environment and spatially correlated against the spatiotemporal maps of groundwater level and groundwater quality. The results also show that the approximate built-up area increased from 227.26 km2 (1.39%) to 869.77 km2 (7.41%), while vegetated areas (farmlands, parks and gardens) increased from about 76.70 km2 (0.65%) to 290.70 km2 (2.47%). The observed changes in LULC are highly linked to the depletion in groundwater level and quality across the study area from the Oman Mountains to the coastal areas. View Full-Text
Keywords: landsat; land use/land cover; United Arab Emirates; support vector machine; change detection; groundwater quality; groundwater level landsat; land use/land cover; United Arab Emirates; support vector machine; change detection; groundwater quality; groundwater level
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MDPI and ACS Style

Elmahdy, S.; Mohamed, M.; Ali, T. Land Use/Land Cover Changes Impact on Groundwater Level and Quality in the Northern Part of the United Arab Emirates. Remote Sens. 2020, 12, 1715. https://doi.org/10.3390/rs12111715

AMA Style

Elmahdy S, Mohamed M, Ali T. Land Use/Land Cover Changes Impact on Groundwater Level and Quality in the Northern Part of the United Arab Emirates. Remote Sensing. 2020; 12(11):1715. https://doi.org/10.3390/rs12111715

Chicago/Turabian Style

Elmahdy, Samy, Mohamed Mohamed, and Tarig Ali. 2020. "Land Use/Land Cover Changes Impact on Groundwater Level and Quality in the Northern Part of the United Arab Emirates" Remote Sensing 12, no. 11: 1715. https://doi.org/10.3390/rs12111715

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