video1.0<iframe src="https://www.loom.com/embed/860c4422bdc04ffe914f53835eb9da36" frameborder="0" width="1664" height="1248" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12481664Loomhttps://www.loom.com12481664https://cdn.loom.com/sessions/thumbnails/860c4422bdc04ffe914f53835eb9da36-a4e123a0a272b702.gif1613.312In this tutorial, I walk you through the process of combining satellite imagery with species occurrence data to analyze vegetation health and patterns in South Africa using the Google Earth Engine Python API. We focus on calculating the normalized difference vegetation index (NDVI) from Landsat 8 imagery and overlaying it with GBIF occurrence records. I demonstrate how to extract NDVI values, perform statistical analyses, and visualize the results using tools like Seaborn and Folium. I encourage you to explore the code and adapt it for your own projects, as there's so much more you can do with Earth observation data. Please feel free to reach out if you have any questions or need further assistance!