Artificial intelligence in earth science : best practices and fundamental challenges /: best practices and fundamental challenges. (2023)

• Record Type: Book
• Further Information: Note: Edited by Ziheng Sun, Nicoleta Cristea, Pablo Rivas.
• Editors: Sun, Ziheng; Cristea, Nicoleta; Rivas, Pablo
• Contents: Part I: Fundamentals of Earth AI; 1. Basic Concepts of Earth AI; 2. Introductory AI Algorithms; 3. AI Infrastructure - hardware and software for developing Earth AI; ; Part II. Existing Best Practices ; 4. AI for Earthquake Hidden Signal Detection; 5. AI for Dust Storm Detection; 6. AI for Snow Monitoring; 7. AI for Volcano Pre-warning and Prediction; 8. AI for Landslide Damage Assessment; 9. AI for Hurricane Prediction; 10. AI for Precipitation Prediction; 11. AI for Drought Monitoring; 12. AI for Wildfire Detection; 13. AI for Air Quality Prediction; 14. AI for Agricultural Irrigation Decision Making; 15. AI for Land Cover Land Use Classification; 16. AI for Ocean mesoscale eddies detection; ; Part III Fundamental Challenges for AI in Earth Sciences ; 17. AI Model Selection and Tuning; 18. Training Data Preparation; 19. Explainable AI; 20. AI Generalization; 21. AI Integration with Physics-based Models; 22. AI Provenance (Replicability & Reproducibility); 23. AI Ethics
• Publisher Details: Amsterdam : Elsevier
• Publication Date: 2023
• Extent: 1 online resource
• Subjects: 550.28563; Artificial intelligence -- Geophysical applications; Earth sciences -- Data processing
• Languages: English
• ISBNs: 9780323972161
• Related ISBNs: 9780323917377
• Notes: Note: Description based on CIP data; resource not viewed.
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