Sentinel-2A Land Cover Mapping Is EASY With This ArcGIS Pro Trick! Supervised Image Classification скачать в хорошем качестве

Sentinel-2A Land Cover Mapping Is EASY With This ArcGIS Pro Trick! Supervised Image Classification

In this tutorial, I explain supervised image classification in ArcGIS Pro using Sentinel-2A multispectral imagery. Supervised classification is a widely used remote sensing technique where training samples are defined to classify satellite imagery into meaningful land cover and land use (LULC) classes. This complete workflow can also be applied to other satellite datasets such as Landsat, ASTER, and high-resolution imagery, making it useful for GIS analysts, remote sensing professionals, geologists, environmental scientists, and students. 🔹 Topics covered in this video: Concept of supervised image classification Creating training samples in ArcGIS Pro Running supervised classification algorithms Accuracy and interpretation of results Applications in land cover mapping and GIS analysis 📌 Software: ArcGIS Pro 📌 Data: Sentinel-2A 📌 Applications: Remote Sensing, GIS, Land Cover Mapping, Environmental & Geological Studies 👍 If you found this tutorial helpful, please like, share, and subscribe for more GIS and remote sensing tutorials.