Links

1) Class Report: Google Doc [link]

2) Class Codes: Deepnote [link]

3) Class Materials: Datasets [link]

In this workshop, you will learn to assess water quality using advanced remote sensing techniques and machine learning models, focusing on the Korean Peninsula. Leveraging NASA Sentinel-2 satellite data, we will explore the principles of remote sensing, data preprocessing, and feature extraction. You will gain hands-on experience in applying machine learning algorithms to analyze and predict water quality parameters such as Chlorophyll-a concentration. By the end of the workshop, you will be equipped with the skills to utilize satellite imagery and machine learning for environmental monitoring and water quality management.

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