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Join me, Azad Rasul, as we dive into the fascinating world of remote sensing using Python! In this quick and insightful tutorial, you'll learn how to harness satellite imagery from Landsat to analyze environmental changes. Whether you're a data enthusiast or a researcher, this video is packed with practical techniques to enhance your analysis skills.

📊 What's Inside:

Importing Essential Libraries: Get started by setting up your Python environment with key libraries like rasterio and matplotlib.
Calculating NDVI (Normalized Difference Vegetation Index): Discover how to measure vegetation health and density.
Computing NDBI (Normalized Difference Built-up Index): Analyze urban expansion and built-up areas.
Assessing Burn Severity with NBR (Normalized Burn Ratio): Evaluate the impact of fires and understand burn severity.
📈 Visualize and Interpret: Learn to display your results with stunning color maps and export your findings as GeoTIFF files for further analysis.

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Let's decode the secrets of our planet together! 🌎🚀