Land Use and Land Cover (LULC) Classification in Google Earth Engine | Step-by-Step Tutorial скачать в хорошем качестве

Land Use and Land Cover (LULC) Classification in Google Earth Engine | Step-by-Step Tutorial

In this video, I demonstrate a step-by-step Land Use and Land Cover (LULC) classification using Google Earth Engine (GEE). The tutorial covers the complete workflow, from satellite image selection and preprocessing to supervised classification and map visualization. You will learn how to: • Access and process satellite imagery (e.g., Landsat/Sentinel) in Google Earth Engine • Create training samples for different land cover classes • Perform supervised classification (Random Forest / SVM) • Visualize and interpret LULC maps • Export classified maps for further analysis in GIS software This tutorial is ideal for students, researchers, and GIS professionals interested in remote sensing, environmental monitoring, urban growth analysis, climate studies, and land change detection. 📍 Applications include: – Urban expansion analysis – Environmental monitoring – Climate and land surface studies – Agricultural and forest assessment – GIS & Remote Sensing projects 🔔 Don’t forget to like, subscribe, and turn on notifications for more GIS and Remote Sensing tutorials.