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...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2021
|
| Schlagworte: | |
| Online-Zugang: | DE-188 DE-91 DE-706 URL des Erstveröffentlichers |
| Zusammenfassung: | "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"-- |
| Beschreibung: | 1 Online-Ressource (xxvi, 405 Seiten) Illustrationen, Diagramme, Karten |
| ISBN: | 9781119646181 9781119646150 9781119646167 |
| DOI: | 10.1002/9781119646181 |
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Datensatz im Suchindex
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| dewey-ones | 550 - Earth sciences |
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| discipline | Geowissenschaften Geologie / Paläontologie Physik Informatik Geographie |
| discipline_str_mv | Geowissenschaften Geologie / Paläontologie Physik Informatik Geographie |
| doi_str_mv | 10.1002/9781119646181 |
| format | Electronic eBook |
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| language | English |
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| spelling | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences edited by Gustau Camps-Valls (Universitat de València, Spain), Devis Tuia (EPFL, Switzerland), Xiao Xiang Zhu (German Aerospace Center and Technical University of Munich, Germany), Markus Reichstein (Max Planck Institute, Germany) Hoboken, NJ Wiley 2021 1 Online-Ressource (xxvi, 405 Seiten) Illustrationen, Diagramme, Karten txt rdacontent c rdamedia cr rdacarrier "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"-- Klimatologie (DE-588)4031178-8 gnd rswk-swf Geowissenschaften (DE-588)4020288-4 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Earth sciences / Study and teaching Algorithms / Study and teaching (DE-588)4143413-4 Aufsatzsammlung gnd-content Geowissenschaften (DE-588)4020288-4 s Fernerkundung (DE-588)4016796-3 s Klimatologie (DE-588)4031178-8 s DE-604 Camps-Valls, Gustavo 1972- (DE-588)140281436 edt Tuia, Devis edt Zhu, Xiaoxiang 1984- (DE-588)1013459822 edt Reichstein, Markus 1972- (DE-588)1247760588 edt Erscheint auch als Druck-Ausgabe, Hardcover 978-1-119-64614-3 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119646181 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences Klimatologie (DE-588)4031178-8 gnd Geowissenschaften (DE-588)4020288-4 gnd Fernerkundung (DE-588)4016796-3 gnd |
| subject_GND | (DE-588)4031178-8 (DE-588)4020288-4 (DE-588)4016796-3 (DE-588)4143413-4 |
| title | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences |
| title_auth | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences |
| title_exact_search | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences |
| title_exact_search_txtP | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences |
| title_full | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences edited by Gustau Camps-Valls (Universitat de València, Spain), Devis Tuia (EPFL, Switzerland), Xiao Xiang Zhu (German Aerospace Center and Technical University of Munich, Germany), Markus Reichstein (Max Planck Institute, Germany) |
| title_fullStr | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences edited by Gustau Camps-Valls (Universitat de València, Spain), Devis Tuia (EPFL, Switzerland), Xiao Xiang Zhu (German Aerospace Center and Technical University of Munich, Germany), Markus Reichstein (Max Planck Institute, Germany) |
| title_full_unstemmed | Deep learning for the earth sciences a comprehensive approach to remote sensing, climate science and geosciences edited by Gustau Camps-Valls (Universitat de València, Spain), Devis Tuia (EPFL, Switzerland), Xiao Xiang Zhu (German Aerospace Center and Technical University of Munich, Germany), Markus Reichstein (Max Planck Institute, Germany) |
| title_short | Deep learning for the earth sciences |
| title_sort | deep learning for the earth sciences a comprehensive approach to remote sensing climate science and geosciences |
| title_sub | a comprehensive approach to remote sensing, climate science and geosciences |
| topic | Klimatologie (DE-588)4031178-8 gnd Geowissenschaften (DE-588)4020288-4 gnd Fernerkundung (DE-588)4016796-3 gnd |
| topic_facet | Klimatologie Geowissenschaften Fernerkundung Aufsatzsammlung |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119646181 |
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