GeoAI in ArcGIS Pro | Automated Building and Road Extraction Using Deep Learning

Experience how GeoAI transforms imagery into actionable geospatial insights.
In this fast-forward demo, we showcase a complete GeoAI workflow in ArcGIS Pro — from data preparation to model training, inference, and feature extraction.

Using deep learning models like DeepLabV3, U-Net, and Multi-task Road Extractor, our process automatically detects and extracts building footprints and road networks from high-resolution satellite imagery. The result is accurate, GIS-ready vector data optimized for mapping, planning, and analysis.

This workflow demonstrates:
-Data preparation and training data generation
-Deep learning model fine-tuning using GPU acceleration
-Automated feature extraction for buildings and roads
-Post-processing into clean vector layers

Learn more about this project on our official page:
👉 https://www.agsrt.com/geoai-arcgis-pro

Discover how Avakaza Geoscience Research Technologies (AGSRT) applies GeoAI to enhance smart mapping, infrastructure planning, and spatial automation.
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Видео GeoAI in ArcGIS Pro | Automated Building and Road Extraction Using Deep Learning канала Avakaza Geoscience Research Technologies