2017
DOI: 10.1007/s40808-017-0322-z
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Application of satellite remote sensing to groundwater potential modeling in Ejigbo area, Southwestern Nigeria

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Cited by 32 publications
(11 citation statements)
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“…In the AHP model, priority is given not only to the single element, but also to the cluster of elements that are often needed (Saaty 1999). In this paper, the AHP model was successfully used to assign relative importance to parameters that elucidate potential groundwater areas (Machiwal et al 2015;Jhariya et al 2016;Dasho et al 2017;Das et al 2017;Chakrabortty et al 2018;Das et al 2019). The main aim of this work is to identify the groundwater potential area of Purba Bardhaman district through the application AHP method and GIS technique.…”
Section: Introductionmentioning
confidence: 99%
“…In the AHP model, priority is given not only to the single element, but also to the cluster of elements that are often needed (Saaty 1999). In this paper, the AHP model was successfully used to assign relative importance to parameters that elucidate potential groundwater areas (Machiwal et al 2015;Jhariya et al 2016;Dasho et al 2017;Das et al 2017;Chakrabortty et al 2018;Das et al 2019). The main aim of this work is to identify the groundwater potential area of Purba Bardhaman district through the application AHP method and GIS technique.…”
Section: Introductionmentioning
confidence: 99%
“…The rose diagram prepared using the fault length at 10° interval shows prominent lineament trends in the N-S and NNE-SSW directions. The N-S and the NNE-SSW trend patterns align with the general N-S foliation strike emplacement and the transcurrent faults system across the region, suggesting that this region has been intensively affected by the reactivated Pan-African shear zones and transcurrent faults Dasho et al 2017). Less dominant trends, from the rose diagram, are the NE-SW and NW-SE directions, the twin conjugate produced by transcurrent movements .…”
Section: Multilayer Horizontal Gradient Maxima Analysismentioning
confidence: 56%
“…The removal of the non-crustal effects from the acquired aeromagnetic data was done through the removal of the International Geomagnetic Reference Field (IGRF). The airborne magnetic datasets of the study area were gridded to an equal cell size of 100 m using a minimum curvature method (Briggs 1974;Webring 1981). To convert the magnetic intensity data acquired at different magnetic field inclinations to what they would be with zero inducing field inclination, the TMI map (Figure 2(a)) was transformed to Reduction-to-Equator (RTE) map (Figure 2(b)), this step is considered necessary in low magnetic latitude area like the study area (Keating and Zerbo 1996).…”
Section: Airborne Magnetic Data and Initial Data Appraisalmentioning
confidence: 99%
“…However, geophysical methods such as Ground Penetrating Radar, Magnetic, Gravity, Electromagnetic and Seismic methods provide a means of obtaining subsurface information in areas with partial/complete cover by alluvium, colluvium and vegetation, and these methods have been used by Boucher 1995;Masoud et al 2007 to map geologic features such as intrusive rocks, folds, and faults. Also, remote-sensing techniques involving the use of multispectral and optical data have been used to discriminate different lithology and lineaments (Masoud and Koike 2011;Bahiru and Woldai 2016;Dasho et al 2017;Adebayo 2018). This paper identifies surface and subsurface structural features in Osun State using airborne magnetic data and satellite remotely sensed data, also investigated the existence of some of the suspected faults using a ground magnetic survey, which measures the magnetic amplitude at discrete points across the suspected faults.…”
Section: Introductionmentioning
confidence: 99%