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Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences

Camps-Valls, G. and Tuia, Devis and Zhu, Xiao Xiang and Reichstein, Markus, eds. (2021) Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences. Wiley & Sons. ISBN 978-1-119-64614-3. (In Press)

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Item URL in elib:https://elib.dlr.de/138451/
Document Type:Collection
Title:Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
Date:December 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-550
Editors:
EditorsEmailEditor's ORCID iD
Camps-Valls, G.university of valenciaUNSPECIFIED
Tuia, Devisdevis.tuia@wur.nlhttps://orcid.org/0000-0003-0374-2459
Zhu, Xiao Xiangxiao.zhu@dlr.deUNSPECIFIED
Reichstein, MarkusMax-Planck-Institute for Biogeochemistry, Jena, Germanyhttps://orcid.org/0000-0001-5736-1112
Publisher:Wiley & Sons
ISBN:978-1-119-64614-3
Status:In Press
Keywords:deep learning, earth sciences, remote sensing, climate science, geosciences
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Bratasanu, Ion-Dragos
Deposited On:30 Nov 2020 18:05
Last Modified:30 Nov 2020 18:05

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