LULC Classification in ArcGIS Pro | Step-by-Step Land Use Land Cover Mapping”

🌍 Want to learn how to create Land Use Land Cover (LULC) maps in ArcGIS Pro? In this step-by-step tutorial, I’ll guide you through the complete process of performing image classification to extract meaningful land cover information from satellite imagery. In this tutorial, you’ll learn: ✅ How to prepare and load satellite imagery in ArcGIS Pro ✅ Difference between unsupervised and supervised classification ✅ How to create training samples for LULC classes (e.g., water, forest, urban, agriculture, bare land) ✅ How to run the Maximum Likelihood Classifier (MLC) or other classifiers in ArcGIS Pro ✅ How to validate your classification using accuracy assessment (confusion matrix & Kappa coefficient) ✅ How to export your final LULC map as a shapefile or GeoTIFF This tutorial is perfect for students, researchers, and professionals interested in remote sensing, GIS, and environmental studies. 📌 Software: ArcGIS Pro 📌 Data: Landsat or Sentinel-2 Imagery