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Deep Learning for the Earth Sciences : a Comprehensive Approach to Remote Sensing, Climate Science and Geosciences.

By: Contributor(s): Publisher: Hoboken, NJ : John Wiley & Sons, Inc., 2021Copyright date: 2021Description: xxvi, 405 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781119646143
  • 1119646146
Subject(s): Additional physical formats: Online version:: Deep learning for the earth sciencesDDC classification:
  • 550.71 23
LOC classification:
  • QE26.3 .D44 2021
Contents:
Part I : Deep Learning to Extract Information from Remote Sensing Images -- Part II : Making a Difference in the Geosciences With Deep Learning -- Part III : Linking Physics and Deep Learning Models.
Summary: "The research in deep learning for the geosciences and Earth observation is growing fast and goes beyond the mere application of algorithms to new data. This is a huge interdisciplinary field. Applying new algorithms to the data deluge is a hot topic in all these cross-sectorial fields. Academic research on this area is strongly involved, and many specialized conferences and special issues in journals are arising each year. The book will provide the reader with the landscape, skills, and principles to quickly become familiar with both fields? needs and applications and will give a principled status of where are we now. The practitioner will be ready to use the technology and principles in his/her own research field in a short period of time. The highlights on future research at the end of each chapter will provide new ideas, particularly for those people involved in advanced research education, who will find these highlights of special interest for PhD Thesis orientations"-- Provided by publisher.
List(s) this item appears in: 2023 New Titles
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Foothills Lab QE26.3 .D44 2021 1 Available 50583020017491
Total holds: 0

Includes bibliographical references and index.

Part I : Deep Learning to Extract Information from Remote Sensing Images -- Part II : Making a Difference in the Geosciences With Deep Learning -- Part III : Linking Physics and Deep Learning Models.

"The research in deep learning for the geosciences and Earth observation is growing fast and goes beyond the mere application of algorithms to new data. This is a huge interdisciplinary field. Applying new algorithms to the data deluge is a hot topic in all these cross-sectorial fields. Academic research on this area is strongly involved, and many specialized conferences and special issues in journals are arising each year. The book will provide the reader with the landscape, skills, and principles to quickly become familiar with both fields? needs and applications and will give a principled status of where are we now. The practitioner will be ready to use the technology and principles in his/her own research field in a short period of time. The highlights on future research at the end of each chapter will provide new ideas, particularly for those people involved in advanced research education, who will find these highlights of special interest for PhD Thesis orientations"-- Provided by publisher.

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