Autor/Autorin: Elbegue Aref Abderrahmane
Born in Algeria, I earned my PhD in Geophysics from the University of Boumerdes, Faculty of Hydrocarbons and Chemistry. I have a strong passion for data science and data manipulation, which naturally compliments my work in geophysics, where interpreting large and complex datasets is essential for understanding the Earth's subsurface.
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 deillegalscriptive machine-learning models, demonstrating how R can support efficient, reproducible workflows in geophysical data processing.