Скачать или смотреть 6. Binary Landcover Classification (with Area Stats & Animation) | Remote Sensing & GIS in Python

Learn how to perform a binary landcover classification in Python using NDVI from satellite images.
In this remote sensing and GIS tutorial, we’ll start by quickly revisiting NDVI calculation (from Tutorial 4 and Tutorial 5) using cropped satellite imagery.
Then, you’ll see how to:
Threshold NDVI into vegetation vs. non-vegetation
Create a smooth mask-reveal animation of your classification
Calculate vegetation and non-vegetation areas in hectares
Visualize the results in a pie chart

This is perfect for beginners in remote sensing, GIS, and Python who want to learn practical, hands-on workflows they can apply to satellite image analysis.

Watch Related Tutorials:
Tutorial 4    • 4. How to Calculate NDVI from Landsat Sate...  
Tutorial 5    • 5. How to Crop or Clip Satellite Images to...  

Subscribe for more hands-on remote sensing & GIS tutorials with Python:    / @remotesensingpro  

#remotesensing #gis #python #NDVI #satelliteimagery #geospatial #BinaryClassification #LandCover #VegetationMapping #pythontutorials