Supervised Classification with Sentinel 2 Satellite Images | Earth Engine | Machine Learning

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In this tutorial, we will discuss how to apply supervised machine learning classification with Sentinel 2 images in Google Earth Engine.

In this tutorial, you will learn how to:
1. Import Sentinel 2 data from the Google Earth Engine data library
2. Create the best cloud-free image
3. Create land cover training data
4. Apply CART (Classification and Regression Tree) supervised classification algorithm
5. Calculate the confusion matrix and overall accuracy
6. Display and visualize classification result
7. Download the classification result

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