Advancing deep learning for earth sciences: From hybrid modeling to 
interpretability

Camps-Valls, Gustau; Reichstein, Markus; Zhu, Xiaoxiang; Tuia, Devis

doi:10.1109/IGARSS39084.2020.9323558

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Advancing deep learning for earth sciences: From hybrid modeling to interpretability

Camps-Valls, G., Reichstein, M., Zhu, X., & Tuia, D. (2020). Advancing deep learning for earth sciences: From hybrid modeling to interpretability. In IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (pp. 3979-3982). doi:10.1109/IGARSS39084.2020.9323558.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-0A72-C Version Permalink: https://hdl.handle.net/21.11116/0000-000D-9C9F-1

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Creators:
Camps-Valls, Gustau, Author
Reichstein, Markus¹, Author
Zhu, Xiaoxiang, Author
Tuia, Devis, Author

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1Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139

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Dates: Published Online: 2020

Publication Status: Published online

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Rev. Type: No review

Identifiers: Other: BGC3664
DOI: 10.1109/IGARSS39084.2020.9323558

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Title: IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

Place of Event: ELECTR NETWORK

Start-/End Date: 2020-09-26 - 2020-10-02

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Title: IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

Source Genre: Proceedings

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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3979 - 3982 Identifier: ISBN: 978-1-7281-6373-4