1
Data Preparation
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
Object Detection
Time Series
5
Phenology-Guided Deep Learning with Uncertainty Quantification for Soybean Yield Prediction
6
Understanding active fire detection uncertainty with Bayesian Neural Networks
7
Transfer Learning
8
Fusion
9
Downscaling
Future of Deep Learning and Foundational Models
10
Evaluating Foundation Models Trained with Earth Observation Data
11
Ethics and Artificial Intelligence
12
Conclusions
References
1
Data Preparation
This chapter is under development and will be available in a future edition of the book.
Introduction
2
Crop Mapping — Rice Mapping in Bhutan with U-Net