End-to-End Google Earth Engine - [UPDATED] Module 3: Machine Learning and Supervised Classification - End-to-End GEE

*Note: This video is an updated version of the original video, which now includes the Satellite Embedding dataset.* This video is part of our End-to-End Google Earth Engine course. Access the full course material at https://courses.spatialthoughts.com/end-to-end-gee.html View the Presentation at https://docs.google.com/presentation/d/19L1b5vsxb38xS8GlHNKOjvPZ0IGqDhv93681btMEL5w/edit?usp=sharing See the Module 3 content at https://courses.spatialthoughts.com/end-to-end-gee.html#module-3-supervised-classification Video Contents: 00:00:00 Introduction to Machine Learning and Supervised Classification 00:15:58 Basic Supervised Classification 00:59:26 Accuracy Assessment 01:18:21 k-Fold Cross Validation 01:23:35 Feature Engineering 01:45:29 Using Satellite Embeddings 02:08:06 Exporting Classification Results 02:26:49 Hyperparameter Tuning 02:35:36 Improving Training Samples 02:41:31 Visualize Exported Images 02:47:42 Post-processing Classification 02:57:41 Calculating Area 03:20:35 Assignment 3 03:22:04 Advanced Techniques for Geospatial Machine Learning 03:23:02 Adding Spatial Context 03:31:00 Modeling Time-Series for Classification 03:42:35 Principal Component Analysis (PCA) Note: Certification and Support are only available for participants in our paid instructor-led classes.