Airborne Geophysical data in Practice

The aim of this book is to present a clear and accessible guide to processing a range of remote sensing datasets for geological mapping with a particular emphasis on cleaning denoising and enhancing airborne geophysical data. These datasets play a crucial role in Earth science applications including lithological prediction mineral exploration structural analysis and environmental studies. Throughout the chapters R programming tools are used extensively for statistical analysis data manipulation visualization and the development of descriptive machine-learning models demonstrating how R can support efficient reproducible workflows in geophysical data processing.