Earth Science

This title includes a number of Open Access chapters. Earth science is a broad field of study that encompasses many different disciplines, including meteorology, climatology, and geology. The importance of the earth sciences—in predicting weather and climate, tracking pollution, drilling for petroleum, evaluating soil, and monitoring ground water—is paramount in modern society. This new work covers a broad selection of topics, including use of satellite remote sensing to track pollution and weather patterns, monitoring for pre-earthquake signals, using earthquakes to uncover new information about the earth, desalination of ground water, predicting deforestation, and much more.

Whether hiking along a mountain trail, driving down a highway, or making a decision about their energy usage, instructors want their students to see and assess the physical world they live in with more informed eyes. Through the most contemporary and applied text; the most vibrant visuals; and the most hands-on learning resources, Earth Science, Second Edition gets students leaving the class with a richer understanding of the science behind the physical world around them, and why it matters in their everyday lives.

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.

Earth science is the study of the Earth, its origin, its structure, the changes it has undergone, and the past and future consequences of those changes. Its four major branches include meteorology, oceanography, astronomy, and geology. From the formulation of the three major principles of modern geology to the publishing of Principles of Geology, Earth Science profiles 10 influential people who made amazing discoveries in Earth science. Each chapter contains relevant information on the scientist's childhood, research, discoveries, and lasting contributions to the field and concludes with a chronology and a list of print and Internet references specific to that individual.

This self-contained handbook provides a carefully researched, compact source of key earth science information and data, logically sorted by subject matter, and then cross-referenced. Appealing to both experts and non-experts alike, the book presents earth science and environmental science as closely intertwined. It includes tables of the global distributions of fossil fuels, contrasted by tables of the distribution of non-fossil energy sources. Concise explanations cover the subject matters of geology, geophysics, oceans, atmosphere with attention to environmental implications and resources.

The best text for helping students see the world around them through a scientist's eyes