Explainable AI for Earth Observation Data Analysis : Applications, Opportunities, and Challenges (Hardcover)

1. Towards Explainable Geospatial AI.? 2. Explainable AI Methods: Challenges and Opportunities for EO Data Analysis.? 3. Explainable EO Data Pre-processing: Challenges and Way Forward.? 4. Explainable Feature Engineering for EO Data Analysis.? 5. Towards Explainable Discriminative Models for EO Data Analysis.? 6. Towards Explainable Generative Models for EO Data Analysis.? 7. Earth Observation Data Analytics: Explainable AI (XAI) Strategies.? 8. Towards Correlating Deep Learning Models with Physics-based Models.? 9. Explainable Ante-hoc Approaches for EO Data Analysis: Opportunities and Challenges.? 10. Explainable Post-hoc Approaches for EO Data Analysis: Opportunities and Challenges.? 11. Online Learning Strategies for Explainability.? 12. Explainability based Evaluation Metrics.? 13.? Benchmark Datasets for EO Data Explainability.? 14. Applications and Case Studies of Explainable EO Data Analysis.? 15. Future Trends in Explainable AI for Geospatial Applications.