1 Introduction
1.1 A note on terminology

2 Related Work
2.1 Supervised learning for SITS classification
2.2 Deep learning approaches for SITS
2.3 Temporal CNNs

3 Temporal CNN Fundamentals
3.1 Convolutional layers
3.2 Temporal convolutions

4 State-of-the-art Methods in SITS
4.1 Temporal CNN network
4.2 Multi-Channel Deep Convolutional Neural Network
4.3 Time-CNN
4.4 Recurrent Neural Network (RNN)
4.5 Inception Time
4.6 Transformer network

5 Overview of Study Sites and Experimental Setup
5.1 TiSeLaC dataset
5.2 SITS-TSI dataset
5.3 Dataset preprocessing
5.4 Performance metrics

6 Experimental Results
6.1 Experiments on the Temporal CNN architecture
6.2 Experimental results for surveyed methods

7 Conclusion and Future Work