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.

Full text not available from this repository.

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:

October 2021

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Page Range:

pp. 1-432

Editors:

Editors	Email	Editor's ORCID iD	ORCID Put Code
Camps-Valls, G.	university of valencia	UNSPECIFIED	UNSPECIFIED
Tuia, Devis	UNSPECIFIED	https://orcid.org/0000-0003-0374-2459	UNSPECIFIED
Zhu, Xiao Xiang	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Reichstein, Markus	Max-Planck-Institute for Biogeochemistry, Jena, Germany	https://orcid.org/0000-0001-5736-1112	UNSPECIFIED

Publisher:

Wiley & Sons

ISBN:

978-1-119-64614-3

Status:

Published

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, R - Artificial Intelligence, R - Optical remote sensing

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:

09 Aug 2021 14:55

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