Conclusion
From Machine Learning to Large-Scale EO Products
From Machine Learning to Large-Scale EO Products
How to Use This Book
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Introduction
Overview of the EO data infrastructure landscape
EO missions
Accessing EO data
Data selection and preprocessing
Data selection
Data preprocessing
Machine learning dataset construction and model training
Constructing a machine-learning-ready dataset
Model design and training
Uncertainty quantification
Sources of uncertainty
Uncertainty quantification methods
Assessing calibration
Spatial structure of uncertainty
Operationalizing uncertainty
Map production and distribution
Map generation
Post-processing
Sharing
Validation
General considerations
Design-based accuracy assessment
Validation beyond probability sampling
Conclusion
Summary
Looking forward
Limitations
Appendices
Sentinel-1 data gaps
Sentinel-1 and Sentinel-2 processing across access pathways
Radiometric Calibration and Terrain Correction of SAR data
Cloud masking methods for Sentinel-2
Conclusion
Validation beyond probability sampling
Summary