About the book
Groundwater is a very crucial natural resource, especially in countries whose conditions are arid or semi-arid. Groundwater has notable advantages over the surface where it can be efficiently exploited when necessary and is less prone to disastrous events such as pollution. Therefore, understanding the methods for groundwater accessibility is crucial to plan and execute practical water resources strategies. Recently, the population of the world is facing shortages of freshwater supply. One way to overcome supply shortages is the identification of possible zones containing groundwater, which is commonly referred to as Groundwater Potential Mapping (GPM). In recent years, Remote Sensing (RS) technologies and Geographic Information System (GIS) have helped us to manage huge various spatial data. Therefore, the aim of this book is to evaluate the application of remote sensing technologies and GIS to GPM using machine learning algorithms as well as statistical methods. The finding of this study could be adapted for groundwater exploitation plans and decision-making process to support water resource management for reducing the costs and time in a similar environmental setting.