No Training Data Needed! KMeans for LULC Mapping in GEE! скачать в хорошем качестве

No Training Data Needed! KMeans for LULC Mapping in GEE!

In this video, we dive into unsupervised classification using the KMeans clustering algorithm in Google Earth Engine (GEE) — a powerful technique for Land Use/Land Cover (LULC) mapping without the need for any training data! 📌 What you'll learn: The concept behind KMeans clustering How to apply KMeans in GEE for LULC classification Visualization tips to display clustering results with unique color schemes 🔔 Don’t forget to like, subscribe, and turn on notifications for more GEE tutorials and geospatial insights! #KMeans #GEE #LULC #UnsupervisedClassification #RemoteSensing #GoogleEarthEngine #LandCoverMapping