Deep Learning for the Earth Sciences : a Comprehensive Approach to Remote Sensing, Climate Science and Geosciences.
Publisher: Hoboken, NJ : John Wiley & Sons, Inc., 2021Copyright date: 2021Description: xxvi, 405 pages : illustrations ; 26 cmContent type:- text
- unmediated
- volume
- 9781119646143
- 1119646146
- 550.71 23
- QE26.3 .D44 2021
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
BOOK | NCAR Library Foothills Lab | QE26.3 .D44 2021 | 1 | Available | 50583020017491 |
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.