Deep learning and process understanding for data-driven Earth system science
Max Planck Institute for Biogeochemistry · Friedrich Schiller University Jena · +4 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
4,912
total citations
- FWCI
- 269.86
- Percentile
- 100%
- References
- 91
Citations per year
Authors
7- MRMarkus ReichsteinCorresponding
Max Planck Institute for Biogeochemistry, Friedrich Schiller University Jena
- GCGustau Camps‐Valls
Universitat de València
- BSBjörn Stevens
Max Planck Institute for Meteorology
- MJMartin Jung
Max Planck Institute for Biogeochemistry
- JDJoachim Denzler
Friedrich Schiller University Jena
Topics & keywords
Topics
Keywords
- Geospatial analysis
- Computer science
- Process (computing)
- Artificial intelligence
- Earth system science
- Context (archaeology)
- Machine learning
- Deep learning
No related works found for this paper.