The present research aims to find the groundwater prospective areas by using Geographic Information System and Remote Sensing based frequency ratio technique. The data sets that affect groundwater such as geomorphology, lithology, slope, soil, rainfall, drainage density, lineament density and land use/ land cover were taken under consideration for finding the groundwater prospective areas in the Bundelkhand region, India. Thematic maps of all the above-mentioned factors have been prepared from the remotely sensed data, data taken from the different organizations and departments. The weights of each attribute class of each thematic layer are assigned according to the frequency ratio technique. A total, 799 numbers of spring locations and discharge rate data of 108 numbers of well locations have been taken under consideration for obtaining the frequency ratio of each attribute class of every parameter used and testing the obtained result, respectively. Finally, all layers were combined by raster calculator command in ArcGIS software to develop the map of groundwater prospective zones in the Bundelkhand region. The produced groundwater prospective areas were classified into five different zones such as very high, high, moderate, low and very low prospective zones and verified by actual well yield data.

本研究旨在利用地理信息系统和基于遥感的频率比技术寻找地下水潜在区。考虑影响地下水的数据集，如地貌、岩性、坡度、土壤、降雨量、排水密度、线状密度和土地利用/土地覆盖，以寻找印度本德尔坎德地区的地下水前景区域。上述所有因素的专题图都是根据遥感数据、来自不同组织和部门的数据制作的。每个专题层的每个属性类的权重根据频率比技术分配。一共，分别考虑了799个弹簧位置和108个井位的流量数据，分别获取了所使用的每个参数的每个属性类的频率比，并对所得结果进行了测试。最后，通过ArcGIS软件中的栅格计算器命令对所有图层进行组合，绘制出Bundelkhand地区地下水远景带图。将采出地下水前景区划分为超高、高、中、低、极低等五个不同的区域，并通过实际井产量数据进行验证。通过 ArcGIS 软件中的栅格计算器命令将所有图层组合在一起，以开发出本德尔坎德地区地下水远景区域的地图。将采出地下水前景区划分为超高、高、中、低、极低等五个不同的区域，并通过实际井产量数据进行验证。通过 ArcGIS 软件中的栅格计算器命令将所有图层组合在一起，以开发出本德尔坎德地区地下水远景区域的地图。将采出地下水前景区划分为超高、高、中、低、极低等五个不同的区域，并通过实际井产量数据进行验证。