This study involved the application of geospatial techniques to delineate groundwater potential zones in a hard rock terrain of Oban Massif and environs. This goal was achieved using satellite remote sensing imagery and geographic information system techniques. The method mapped groundwater-controlling factors such as geology, geomorphology, lineament density, slope, land use and land cover and drainage density. The study covered a total area of 677,298 km². Landsat ETM⁺ imagery, Shuttle Radar Transmission Mission (SRTM), topographic and geological maps and ASTER DEM were used in the analysis. Software used for image processing, digitizing and lineament density computation are ArcGIS10.1, ENVI 4.2 and PCI Geomatica, respectively. Supervised classification method was applied in land use and land cover mapping. Analysis of satellite imagery shows that band 4 was the best for showing textural features for lineament extraction. The method of multi-criteria evaluation by assigning relative weights to each groundwater-controlling factor was used to produce their corresponding thematic maps. The thematic maps were produced by weighted linear combination; each class individual weight was multiplied by the map scores and then adding the results. Overlay analysis of the thematic maps produced the groundwater potential map. Results show four groundwater prospect zones classified into very good (38,365 km²), moderately good (230,999 km²), fair (381,865 km²) and poor (26,068 km²). From this study, it is evident that lineament mapping is not the overriding factor in groundwater occurrence; other groundwater controlling factors are necessary for a more credible groundwater potential modeling. Lineament, slope, geology and geomorphology are the most influential groundwater controlling factors in the study. Comparison of the results of this study with the collected sample data shows reasonable accuracy. These findings are useful for borehole siting and environmental management strategies for groundwater potential investigation in both Nigeria and other parts of world.

这项研究涉及地理空间技术在划定奥本断层块和周围硬岩地形中地下水潜在区域的应用。使用卫星遥感影像和地理信息系统技术实现了这一目标。该方法绘制了地下水控制因素，例如地质，地貌，线粒体密度，坡度，土地利用以及土地覆盖和排水密度。研究覆盖总面积677,298 km ²。Landsat ETM ⁺影像，航天飞机雷达传输任务（SRTM），地形和地质图以及ASTER DEM用于分析。用于图像处理，数字化和线条密度计算的软件分别是ArcGIS10.1，ENVI 4.2和PCI Geomatica。在土地利用和土地覆被制图中采用监督分类法。卫星图像分析表明，频段4最适合显示线条提取的纹理特征。通过为每个地下水控制因子分配相对权重的多准则评估方法，可以生成相应的专题图。通过加权线性组合制作专题图；每个班级的个人体重乘以地图分数，然后相加结果。专题图的叠加分析产生了地下水潜力图。²），中度良好（230999公里²），公平（381865公里²）和差（26068公里²）。从这项研究中可以明显看出，界线图不是地下水发生的最主要因素。其他地下水控制因素对于建立更可靠的地下水潜力模型是必要的。线性，坡度，地质和地貌是该研究中最有影响力的地下水控制因素。这项研究的结果与收集的样本数据的比较显示出合理的准确性。这些发现对于尼日利亚和世界其他地区的钻孔选址和环境管理策略进行地下水潜力调查很有用。