GeoAI: Artificial Intelligence for Geospatial Data GeoAI is a Python package that bridges AI and geospatial analysis, providing tools for processing, analysis, and visualization of spatial data using machine learning. It supports raster, vector, and point cloud formats and integrates seamlessly with common geospatial libraries. Core capabilities include: 📊 Data visualization — interactive maps, charts, and dashboards 📷 Image classification & segmentation — from satellite or aerial imagery 📈 Time series analysis — detect trends and monitor change over time 📍 Spatial feature extraction — from imagery or LiDAR point clouds 🤖 Model training & inference — integrate AI models into geospatial workflows 🌍 Multi-format support — GeoTIFF, Shapefile, GeoJSON, and more Applications: 🔹 Disaster response mapping 🔹 Land cover & change detection 🔹 Urban planning & infrastructure monitoring 🔹 Environmental & resource management 📖 Documentation: geoai.opengeos.org 💬 GitHub: github.com/opengeos/geoai 🧠 Credit: opengeos, @giswqs #GeoAI #Geospatial #MachineLearning #RemoteSensing #OpenSource