Visualize Satellite NDVI Data in Python with Rasterio &Matplotlib | Anaconda Setup

🛰 GIS Lab Practical 2 is here! In this video, we open a real satellite image
(.tif file), read its pixel values, and render it as a professional NDVI Map using
Python — inside Jupyter Notebook!
This is perfect for students, researchers, and anyone starting out in geospatial
Python programming.
📌 What You'll Learn:
✅ Set up a fresh Anaconda virtual environment (Python 3.10) from scratch
✅ Install rasterio and matplotlib the right way (conda-forge recommended)
✅ Open a satellite .tif file using rasterio.open()
✅ Read raster band data as a NumPy array with src.read(1)
✅ Visualize satellite data with plt.imshow()
✅ Understand the visualization pipeline: array → colors → map
✅ Create a publication-quality NDVI Map using the RdYlGn colormap
🟢 Green = Healthy Vegetation | 🔴 Red = Bare Land / Water / Non-vegetated areas
📂 Libraries Used: rasterio, matplotlib
🐍 Environment: Anaconda (Jupyter Notebook), Python 3.10
⏱ Timestamps:
00:00 – Introduction
01:00 – Anaconda Setup & conda environment creation
03:00 – Installing rasterio & matplotlib
04:30 – Loading the NDVI .tif File
06:30 – Code Explanation Line by Line
08:30 – Professional NDVI Map with RdYlGn colormap
10:30 – Recap & Outro
📥 Drop a screenshot of YOUR NDVI Map in the comments! I'd love to see it.
🔔 Subscribe for the next GIS Practical — NDVI thresholds and region cropping!
#Python #GIS #NDVI #Rasterio #Matplotlib #SatelliteImagery #JupyterNotebook
#AIwithDrRashi #GISPractical #RemoteSensing

Видео Visualize Satellite NDVI Data in Python with Rasterio &Matplotlib | Anaconda Setup канала Learn Computer Science with Prof. Rashi