Comparative Assessment of GeoAI-Based Frameworks for Automatic Urban Tree Cover Mapping
This study evaluates and compares three Geospatial Artificial Intelligence frameworks for the automated detection and segmentation of tree cover and highlights the effectiveness of the TreeEyed QGIS plugin for urban applications and emphasizes the necessity of local LiDAR-derived data for model validation.