11. Ethics (coming soon)
Ethics and Artificial Intelligence
Applied Artificial Intelligence and Deep Learning Book
Introduction
2. Data Preparation (coming soon)
Data Preparation
3. Semantic Segmentation
3.1 Crop Mapping — Rice Mapping in Bhutan with U-Net
3.2 Selective Logging Detection with Deep Learning and Very-High Resolution Imagery
3.3 Clay Deforestation Segmentation Model
4. Object Detection (coming soon)
Object Detection
5. Time Series
5.1 Phenology-Guided Deep Learning with Uncertainty Quantification for Soybean Yield Prediction
6. Ecological Process Simulation
6.1 Understanding Active Fire Detection Uncertainty with Bayesian Neural Networks
7. Transfer Learning (coming soon)
Transfer Learning
8. Fusion (coming soon)
Fusion
9. Downscaling (coming soon)
Downscaling
10. Future of Deep Learning and Foundation Models
10.1 Evaluating Foundation Models Trained with Earth Observation Data
10.2 Earth Observation Foundation Models: Encoder Representation Analysis and Downstream Task Benchmarking
11. Ethics (coming soon)
Ethics and Artificial Intelligence
12. Conclusions (coming soon)
Conclusions
How to Cite
References
11. Ethics (coming soon)
Ethics and Artificial Intelligence
Ethics and Artificial Intelligence
This chapter is under development and will be available in a future edition of the book.
10.2 Earth Observation Foundation Models: Encoder Representation Analysis and Downstream Task Benchmarking
Conclusions