There is no question that the world, our fragile planet, is changing, and it is changing faster than expected. The question now is whether this process is reversible. This excellent book attempts to answer some of the concerns related to that key question. In order to do it, the book focuses on the most trending technology nowadays: artificial intelligence (machine learning is a subfield within AI).

This book shows the suitability of analyzing huge datasets derived from earth observations through state-of-the-art approaches. From a technical standpoint, it includes strategies belonging to regression, classification, supervised learning, unsupervised learning, and the problem of downscaling the resolution of climate datasets. From a practical point of view, it covers all the major challenges in the area of earth sciences, such as climate models, the formation of tornadoes, and land cover maps, among others. The book closes with a very interesting chapter devoted to finding and connecting scientific web resources by making use of a geosemantic framework.

This book is advisable for someone who wants to find the link between two trending areas in the world today: climate change and AI.