08 Computing Spectral Indices (NDVI, NDWI, ...)

Geospatial Python Series 🌍 This series is designed to help you master GIS (Geographic Information Systems) and Remote Sensing using Python. Whether you're a beginner or an experienced developer, this repository provides practical examples and tutorials to enhance your geospatial analysis skills. 🔗 Video Links Copernicus Dataspace: https://dataspace.copernicus.eu/ Index DataBase: https://www.indexdatabase.de/ Sentinel Hub: https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel/sentinel-2/#remote-sensing-indices 🔗 GitHub Repository https://github.com/tommyscodebase/Geospatial_Python_Series 🔗 Setting up a Geospatial Development Environment ▶️ Windows: https://youtu.be/UNR_ahba9Jg?si=3mnqgq9AzS9hjKig ▶️ Linux/macOS: https://youtu.be/gx6jIRkx6l8?si=QRK4UfKiqmKrfQCu 👉 Follow me on LinkedIn: https://www.linkedin.com/in/tbbotchwey/ 📖Chapters (00:00:00) 01: Intro (00:01:29) 02: Downloading the images (00:06:33) 03: Visualizing True Color Composite in QGIS (00:07:33) 04: Renaming the images (00:15:12) 05: Reading and sorting the bands (00:35:25) 06: Computing NDWI (00:42:38) 07: Computing NDVI (00:45:41) 08: Conclusion (00:45:58) 09: Outro