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Article

Mapping Prospective Areas of Water Resources and Monitoring Land Use/Land Cover Changes in an Arid Region Using Remote Sensing and GIS Techniques

1
Institute of Urban and Rural Construction, Hebei Agricultural University, Baoding 071000, China
2
Geology Department, South Valley University, Qena 83523, Egypt
3
Remote Sensing Lab., South Valley University, Qena 83523, Egypt
4
Chair of Natural Hazards and Mineral Resources, Geology and Geophysics Department, King Saud University, Riyadh 68953, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Academic Editor: Thomas Meixner
Water 2022, 14(15), 2435; https://doi.org/10.3390/w14152435
Received: 19 June 2022 / Revised: 30 July 2022 / Accepted: 2 August 2022 / Published: 6 August 2022
Groundwater is a vital water resource for economic, agricultural, and domestic purposes in arid regions. To reduce water scarcity in arid regions, recently, remote sensing and GIS techniques have been successfully applied to predict areas with prospective water resources. Thus, this study attempted to spatially reveal groundwater potential zones (GWPZs) and to conduct change detection on the desert fringes of Wadi Asyuti, a defunct tributary of Egypt’s Nile basin in eastern Sahara. Eleven influential groundwater factors generated from remote sensing imagery, and geological, hydrological, and climatic conditions were combined after giving a weight to each factor through a GIS-based Analytical Hierarchy Process (AHP) coupled with the weighted overlay technique (WOT). The results revealed six distinctive zones with scores ranging from very low (10.59%) to excellent (3.03%). Thirty-three productive groundwater wells, Interferometry Synthetic Aperture Radar (InSAR) coherence change detection (CCD), a land use map derived from Sentinel-2, and the delineated flooding zone derived from Landsat-8 data were used to validate the delineated zones. The GWPZs indicated that 48% of the collected wells can be classified as consistent to excellent. The Normalized Difference Vegetation Index (NDVI) and image classification were applied to the multi-temporal Landsat series and Sentinel-2 along with the InSAR CCD data derived from Sentinel-1 images to reveal dramatic changes in land use/land cover (LU/LC) in terms of agricultural and other anthropogenic activities in the structurally downstream area, which is the most promising area for future developments. Overall, the integration of radar and multispectral data through the GIS technique has the ability to provide valuable information about water resources in arid regions. Thus, the tested model is a promising technique, and such information is extremely significant for the guidance of planners and decision makers in the area of sustainable development. View Full-Text
Keywords: groundwater; remote sensing; GIS; modeling; arid region; change detection groundwater; remote sensing; GIS; modeling; arid region; change detection
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MDPI and ACS Style

Sun, T.; Cheng, W.; Abdelkareem, M.; Al-Arifi, N. Mapping Prospective Areas of Water Resources and Monitoring Land Use/Land Cover Changes in an Arid Region Using Remote Sensing and GIS Techniques. Water 2022, 14, 2435. https://doi.org/10.3390/w14152435

AMA Style

Sun T, Cheng W, Abdelkareem M, Al-Arifi N. Mapping Prospective Areas of Water Resources and Monitoring Land Use/Land Cover Changes in an Arid Region Using Remote Sensing and GIS Techniques. Water. 2022; 14(15):2435. https://doi.org/10.3390/w14152435

Chicago/Turabian Style

Sun, Tong, Wuqun Cheng, Mohamed Abdelkareem, and Nasir Al-Arifi. 2022. "Mapping Prospective Areas of Water Resources and Monitoring Land Use/Land Cover Changes in an Arid Region Using Remote Sensing and GIS Techniques" Water 14, no. 15: 2435. https://doi.org/10.3390/w14152435

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