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Large-Scale Machine Learning in the Earth Sciences
Author : Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser
Publisher : CRC Press
Release Date : 2017-08-01
ISBN 10 : 1498703887
Pages : 208 pages
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From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.

Practical Handbook of Earth Science
Author : Jane H. Hodgkinson,Frank D. Stacey
Publisher : CRC Press
Release Date : 2017-09-11
ISBN 10 : 1351374710
Pages : 402 pages
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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.

A Strategy for Earth Science from Space in the 1980's: Solid earth and oceans
Author : N.A
Publisher : N.A
Release Date : 1982
ISBN 10 :
Pages : 329 pages
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Chemistry for Environmental and Earth Sciences
Author : Catherine Vanessa Anne Duke,Craig Denver Williams
Publisher : CRC Press
Release Date : 2007-10-01
ISBN 10 : 1420005693
Pages : 248 pages
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Tackling environmental issues such as global warming, ozone depletion, acid rain, water pollution, and soil contamination requires an understanding of the underlying science and chemistry of these processes in real-world systems and situations. Chemistry for Environmental and Earth Sciences provides a student-friendly introduction to the basic chemistry used for the mitigation, remediation, and elimination of pollutants. Written and organized in a style that is accessible to science as well as non-science majors, this textbook divides its content into four intuitive chapters: Fire, Earth, Water, and Air. The first chapter explains classical concepts in chemistry that occur in nature such as atomic and molecular structures, chemical bonding and reactions, states of matter, phase transitions, and radioactivity. Subsequent chapters focus on the chemistry relating to the geosphere, hydrosphere, and atmosphere—including the chemical aspects of soil, water, and air pollution, respectively. Chemistry for Environmental and Earth Sciences uses worked examples and case studies drawn from current applications along with clear diagrams and concise explanations to illustrate the relevance of chemistry to geosciences. In-text and end-of-chapter questions with complete solutions also help students gain confidence in applying concepts from this book towards solving current, real-world problems.

Earth Science Enterprise
Author : N.A
Publisher : N.A
Release Date : 2003
ISBN 10 :
Pages : 329 pages
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NASA Earth Science
Author : United States. Congress. House. Committee on Science
Publisher : N.A
Release Date : 2006
ISBN 10 :
Pages : 225 pages
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National Imperatives for Earth Science Research
Author : United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Space, Aeronautics, and Related Sciences
Publisher : N.A
Release Date : 2013
ISBN 10 :
Pages : 38 pages
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Earth Science Data Standards
Author : N.A
Publisher : N.A
Release Date : 1985
ISBN 10 :
Pages : 1 pages
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Welcome to NASA's Earth Science Enterprise
Author : N.A
Publisher : N.A
Release Date : 1999
ISBN 10 :
Pages : 91 pages
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GIS Technology Applications in Environmental and Earth Sciences
Author : Bai Tian
Publisher : CRC Press
Release Date : 2016-09-19
ISBN 10 : 1498776051
Pages : 258 pages
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This book starts with an overview of GIS technology, what GIS technology is, what it can do, what software products are available, etc. Then, throughout the book, the author explains with many case studies, programs, maps, graphics, and 3D models how GIS and other related technologies can be used to automate mapping processes, collect, process, edit, store, manage, and share datasets, statistically analyze data, model, and visualize large datasets to understand patterns, trends, and relationships to make educated decisions. This book is an excellent resource for anyone who is interested in GIS and related technologies, geology, natural resource, and environmental science.

Earth Science Engineers Communication and Information Needs: Appendix
Author : A. Gralewska-Vickery
Publisher : N.A
Release Date : 1975
ISBN 10 :
Pages : 329 pages
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Transactions (Doklady) of the Russian Academy of Sciences
Author : N.A
Publisher : N.A
Release Date : 1996
ISBN 10 :
Pages : 329 pages
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