Fusion of Remote Sensing Data Using GIS-Based AHP-Weighted Overlay Techniques for Groundwater Sustainability in Arid Regions
نویسندگان
چکیده
Remote sensing and GIS approaches have provided valuable information on modeling water resources, particularly in arid regions. The Sahara of North Africa, which is one the driest regions Earth, experienced several pluvial conditions past that could stored significant amounts groundwater. Thus, harvesting by revealing groundwater prospective zones (GWPZs) highly important to security management resources are necessary for sustainable development such Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM), Advanced Land Observing Satellite (ALOS)/Phased Array type L-band Synthetic Aperture (PALSAR), Tropical Rainfall Measuring (TRMM), Landsat-8 OLI data all successfully revealed geologic, geomorphic, climatic, hydrologic features Wadi El-Tarfa east Egypt’s Nile River. fusion eleven predictive maps including lithology, radar intensity, lineament density, altitude, slope, depressions, curvature, topographic wetness index (TWI), drainage runoff, rainfall data, after being ranked normalized through GIS-based analytic hierarchy process (AHP) weighted overlay methods, allowed GWPZs be demarcated. resulting map was divided into five classes: very high, moderate, low, low potentiality, cover about 10.32, 24.98, 30.47, 24.02, 10.20% entire basin area, respectively. its derived NDVI acquired 15 March 2014, storm 8–9 along with existing well locations validated map. overall results showed an integrated approach multi-criteria a AHP has capability Additionally, probing areas helpful planners decision-makers dealing
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su14137871