Supervised Classification: Training Samples, Classification, and Land Cover Change Analysis
This video guides you through the entire process of supervised classification in remote sensing. You will learn how to import satellite images, select and create training samples, and classify land cover based on known classes. The tutorial covers important steps such as image preprocessing, defining spectral signatures, and performing supervised classification to map different land cover types. Additionally, the video demonstrates how to create a professional map layout with a scale, legend, and title. Finally, you'll analyze land cover changes over time using Excel for a quantitative assessment of environmental transformations.