6. Binary Landcover Classification (with Area Stats & Animation) | Remote Sensing & GIS in Python скачать в хорошем качестве

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