Deep learning for the earth sciences: a comprehensive approach to remote sensing, climate science and geosciences

"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. Academi...

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Bibliographic Details
Other Authors: Camps-Valls, Gustavo 1972- (Editor), Tuia, Devis (Editor), Zhu, Xiaoxiang 1984- (Editor), Reichstein, Markus 1972- (Editor)
Format: Electronic eBook
Language:English
Published: Hoboken, NJ Wiley 2021
Subjects:
Online Access:DE-188
DE-91
DE-706
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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"--
Physical Description:1 Online-Ressource (xxvi, 405 Seiten) Illustrationen, Diagramme, Karten
ISBN:9781119646181
9781119646150
9781119646167
DOI:10.1002/9781119646181

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