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Artificial Intelligence in Earth Science
Best Practices and Fundamental Challenges

A detailed, step-by-step guide to implementing AI techniques in Earth Science to discover patterns, trends, and answers that human analysis cannot match

Ziheng Sun (Edited by), Nicoleta Cristea (Edited by), Pablo Rivas (Edited by)

9780323917377, Elsevier Science

Paperback, published 26 April 2023

430 pages
22.9 x 15.2 x 2.7 cm, 1 kg

Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience.

The book tackles the complexity of Earth system problems in AI engineering, fully guiding geoscientists who are planning to implement AI in their daily work.

1. Introduction of artificial intelligence in Earth sciences

2. Machine learning for snow cover mapping

3. AI for sea ice forecasting

4. Deep learning for ocean mesoscale eddy detection

5. Artificial intelligence for plant disease recognition

6. Spatiotemporal attention ConvLSTM networks for predicting and physically interpreting wildfire spread

7. AI for physics-inspired hydrology modeling

8. Theory of spatiotemporal deep analogs and their application to solar forecasting

9. AI for improving ozone forecasting

10. AI for monitoring power plant emissions from space

11. AI for shrubland identification and mapping

12. Explainable AI for understanding ML-derived vegetation products

13. Satellite image classification using quantum machine learning

14. Provenance in earth AI

15. AI ethics for earth sciences

Subject Areas: Geology & the lithosphere [RBG]

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