References
Applied Artificial Intelligence and Deep Learning Book
Introduction
1
Data Preparation
Semantic Segmentation
2
Crop Mapping — Rice Mapping in Bhutan with U-Net
3
Selective Logging Detection with Deep Learning and Very-High Resolution Imagery
4
Clay Deforestation Segmentation Model
5
Object Detection
Time Series
6
Phenology-Guided Deep Learning with Uncertainty Quantification for Soybean Yield Prediction
7
Understanding active fire detection uncertainty with Bayesian Neural Networks
8
Transfer Learning
9
Fusion
10
Downscaling
Future of Deep Learning and Foundational Models
11
Evaluating Foundation Models Trained with Earth Observation Data
12
Ethics and Artificial Intelligence
13
Conclusions
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References
References
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