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  A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet)

Gensheimer, J., Turner, A. J., Köhler, P., Frankenberg, C., & Chen, J. (2022). A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet). Biogeosciences, 19(6), 1777-1793. doi:10.5194/bg-19-1777-2022.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-3366-A Version Permalink: https://hdl.handle.net/21.11116/0000-000A-3367-9
Genre: Journal Article

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 Creators:
Gensheimer, Johannes1, Author           
Turner, Alexander J., Author
Köhler, Philipp, Author
Frankenberg, Christian, Author
Chen, Jia, Author
Affiliations:
1Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938311              

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 Dates: 2022-03-012022-03-31
 Publication Status: Published online
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 Identifiers: Other: BGC3858
DOI: 10.5194/bg-19-1777-2022
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Title: Biogeosciences
  Other : Biogeosciences
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Pages: - Volume / Issue: 19 (6) Sequence Number: - Start / End Page: 1777 - 1793 Identifier: ISSN: 1726-4170
CoNE: https://pure.mpg.de/cone/journals/resource/111087929276006