Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges

Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive guide to AI workflows for solving Earth Science problems, focusing on training data preparation, model selection, hyperparameter tuning, and more.

Format: Paperback / softback
Length: 340 pages
Publication date: 28 April 2023
Publisher: Elsevier - Health Sciences Division

Artificial Intelligence (AI) has revolutionized the field of Earth Science, offering unprecedented opportunities to solve complex problems and advance our understanding of the planet. In recent years, there has been a growing interest in applying AI to Earth system sciences, particularly in addressing the challenges posed by natural disasters, climate change, and resource management.

"Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges" is a comprehensive guide that provides a step-by-step approach to leveraging AI workflows for solving problems in Earth Science. The book focuses on the most challenging aspects of 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 to providing a detailed roadmap for implementing AI workflows, the book also offers full-stack workflow tutorials that walk readers through the entire process, regardless of their previous AI experience. The authors, who are experts in the field, have designed the book to be accessible to both novice and experienced AI practitioners, making it an invaluable resource for geoscientists who are planning to integrate AI into their daily work.

One of the key challenges in applying AI to Earth system sciences is the complexity of Earth system problems. These problems often involve multiple variables, complex interactions, and large datasets, making it difficult to develop accurate models. The book addresses this challenge by providing a comprehensive framework for analyzing and interpreting data, as well as developing and evaluating AI models.

Another challenge is the lack of standardized training data and evaluation metrics for Earth system sciences. The book addresses this by advocating for the development of open-source datasets and standardized evaluation frameworks that can be used by researchers across different disciplines. This will facilitate the sharing of knowledge and collaboration in the field.

In conclusion, "Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges" is a must-read for geoscientists who are interested in leveraging AI to solve complex problems in Earth Science. The book provides a comprehensive and practical guide to AI workflows, covering a wide range of topics and offering valuable insights into the challenges and opportunities of applying AI in the field. By leveraging the power of AI, geoscientists can gain new insights into Earth system processes, improve their decision-making processes, and contribute to the development of more sustainable and resilient societies.

Dimension: 229 x 152 (mm)
ISBN-13: 9780323917377