How to classify imagery and detect landforms with EasyLidar? Tutorial 12

EasyLidar: LiDAR GIS & maps https://apps.apple.com/us/app/easylid... Sixth tutorial of the advanced series. Teaching EasyLidar to recognise things: supervised classification of an orthophoto into land cover from drawn samples, accuracy and hectares per class, reusable signatures, a Core ML Deep Learning model that runs on the Mac, and the same idea applied to the terrain to detect geomorphons and your own landforms. In this video you will learn to: • Open the classifier and draw samples per class over the orthophoto. • Classify by maximum likelihood and read the confusion matrix. • Vectorize the result and get hectares per class. • Save and reuse signatures. • Apply a Core ML land-cover model with no samples, all on the Mac. • Detect terrain patterns: geomorphons and your own classes with Random Forest. CHAPTERS 00:00 Introduction 00:40 Open the classifier 01:24 Draw samples 01:56 Classify and accuracy 02:39 Vectorize 03:16 Signatures 03:52 Deep Learning with Core ML 04:44 Landforms: geomorphons 05:36 Teach terrain shapes 06:18 Save and goodbye ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EASYLIDAR TUTORIAL SERIES Basic series (1–6) 1. Getting started 2. Views and navigation 3. Views for archaeology 4. Layers and export 5. Topography 6. Artificial intelligence Advanced series (7–13) 7. Vector layers in depth 8. DEM and terrain derivatives 9. Raster calculator and zonal statistics 10. The optical world 11. From points to surfaces 12. Classification 13. Drone photogrammetry EasyLidar is available on the Mac App Store in 6 languages. Website and support: https://easylidar-ai.com ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ #EasyLidar #LiDAR #GIS #macOS