Deep learning and process understanding for data-driven Earth system science

Keywords

Geospatial analysisComputer scienceProcess (computing)Artificial intelligenceEarth system scienceContext (archaeology)Machine learningDeep learningRange (aeronautics)Data scienceEngineeringEcologyGeography

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Publication Info

Year: 2019
Type: review
Volume: 566
Issue: 7743
Pages: 195-204
Citations: 4282
Access: Closed

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APA Style

                            
                                
                                    Markus Reichstein, 
                                
                                    Gustau Camps‐Valls, 
                                
                                    Björn Stevens
                                
                                et al.
                            
                            (2019). 
                            Deep learning and process understanding for data-driven Earth system science. 
                            Nature
                            , 566
                            (7743)
                            , 195-204.
                            https://doi.org/10.1038/s41586-019-0912-1
                        

Identifiers

DOI: 10.1038/s41586-019-0912-1