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  Modelling landsurface time-series with recurrent neural nets

Reichstein, M., Besnard, S., Carvalhais, N., Gans, F., Jung, M., Kraft, B., et al. (2018). Modelling landsurface time-series with recurrent neural nets. In 2018 IEEE International geoscience and remote sensing symposium (IGARSS) (pp. 7640-7643). 2018: Valencia. doi:10.1109/IGARSS.2018.8518007.

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BGC3261.pdf (Publisher version), 372KB
 
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 Creators:
Reichstein, Markus1, Author           
Besnard, Simon2, Author           
Carvalhais, Nuno2, Author           
Gans, Fabian3, Author           
Jung, Martin4, Author           
Kraft, Basil4, 5, Author           
Mahecha, Miguel D.3, Author           
Affiliations:
1Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              
2Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              
3Empirical Inference of the Earth System, Dr. Miguel D. Mahecha, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938312              
4Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938311              
5IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society, Hans-Knöll-Str. 10, 07745 Jena, DE, ou_1497757              

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 Dates: 201820182018
 Publication Status: Issued
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 Rev. Type: No review
 Identifiers: Other: BGC3261
DOI: 10.1109/IGARSS.2018.8518007
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Title: 2018 IEEE International geoscience and remote sensing symposium (IGARSS)
Source Genre: Proceedings
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Publ. Info: 2018 : Valencia
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 7640 - 7643 Identifier: ISBN: 978-1-5386-7150-4/18/