GeoAI is a comprehensive open-source Python package designed to integrate artificial intelligence techniques with geospatial data analysis, enabling users to perform advanced geographic modeling and visualization tasks with ease. It provides a unified framework that combines machine learning libraries such as PyTorch and Transformers with geospatial tools, allowing users to process satellite imagery, aerial photos, and vector datasets in a streamlined workflow. The platform supports a wide range of tasks including image classification, object detection, segmentation, and change detection, making it suitable for applications in environmental monitoring, urban planning, and disaster response. GeoAI simplifies complex workflows by offering high-level APIs that abstract data preprocessing, model training, and inference, reducing the technical barrier for users who are not experts in both AI and geospatial systems.
Features
- Unified framework for AI and geospatial data processing
- Support for classification detection and segmentation tasks
- Automated dataset preparation and preprocessing tools
- Integration with PyTorch Transformers and GIS libraries
- Interactive visualization with mapping tools and QGIS
- Access to satellite imagery and geospatial datasets