Characterizing Groundwater Potentials in parts of the Basement Complex of Nigeria using GIS and Remote Sensing.
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Sustainable Water Resources Management
Abstract
Groundwater prospect in parts of southwestern Nigeria was delineated by inferring the subsurface models from the responses of remote sensing and GIS data. In characterizing the area, both primary and secondary data were used. The primary data include landsat8 OLI and ASTER Digital Elevation Model, while the secondary data includes geology, soil, and topography maps of the area. Hence, thematic maps of potentials and lineament density, and land cover/use maps for the area were
derived from the landsat8 OLI/TRS image. Thus, the area was characterized as follows: very low, low, moderate, high, and
very high potentiality that covered 1.4 km2(0.59%), 72.18 km2(9.59%), 372.3 km2(49.44%),272.12 km2(36.14%), and 35km2(4.64%), respectively. The western part of the area is dominated by very low to low potential, while the southern part of the area is dominated by high to very high potential. Hence, low and moderate potentials occupy the highest landmass (59.03%) in the area. In conclusion, the basement complex terrain in question has a moderately low aquifer capability.
Description
Keywords
Landsat 8 · Characterization · Model · Lineament