**Preface to "Deep Learning Methods for Remote Sensing"**

The areas of machine learning and deep learning have seen impressive progress in recent years. This progress has been mainly driven by the availability of high processing performance at an affordable cost and a large quantity of data. Most state-of-the-art techniques today are based on deep neural networks. This progress has sparked innovations in technologies, algorithms, and approaches and led to results that were unachievable until recently. Among the various research areas that have been significantly impacted by this progress is remote sensing.

This book gathers cutting-edge contributions from researchers using deep learning for remote sensing. Contributions include recent work in various remote sensing areas of applications such as environmental studies, natural risks, urban analysis, and change detection. The aim of this book is to serve as a starting point for researchers, scientists, and engineers interested in learning about the use of deep learning for remote sensing.

> **Moulay A. Akhloufi and Mozhdeh Shahbazi** *Editors*
