3. How to Stack bands to Create Satellite Image Color Composites in Python | Layer Stacking

Unlock the power of Landsat satellite imagery with this step-by-step Python tutorial! Learn how to create stunning true color and false color composites from raw Landsat bands using Python libraries like rasterio and numpy. Whether you’re a beginner or looking to sharpen your remote sensing skills, this video guides you through essential techniques to transform raw satellite data into vivid, detailed images. What you’ll learn: How to load and read Landsat bands in Python The difference between true color and false color composites Techniques for stretching images to enhance contrast and details Simple Python code examples you can reuse in your projects Useful Links: U.S. Geological Survey (USGS) Landsat data: https://www.usgs.gov/landsat Python official website: https://www.python.org Rasterio documentation: https://rasterio.readthedocs.io/en/latest/ Numpy documentation: https://numpy.org/doc/ Previous Tutorial (Tutorial 2 - Opening and Displaying Landsat Images in Python): https://youtu.be/a0B5qyvDu0Y?si=GbHDKsMN_llhAagB Don’t forget to: Like this video if you find it helpful! Subscribe for more remote sensing and Python tutorials! Ask your questions or share your thoughts in the comments below! #Landsat #RemoteSensing #PythonTutorial #SatelliteImagery #GeospatialAnalysis #Rasterio #EarthObservation #TrueColor #FalseColor #GIS