Deep Learning for the Earth Sciences connects machine learning methods with questions in remote sensing, climate science and geosciences. Edited by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu and Markus Reichstein, the book introduces concepts and practices needed to study deep learning in Earth science applications. Its interdisciplinary approach places computational techniques alongside the data and scientific problems they are used to investigate. This hardcover supports readers building a bridge between artificial intelligence and environmental research.