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Notebook: https://agu2025.workshops.geojupyter.org/modules/integrating-ai This notebook is for the workshop (Open Source Geospatial Workflows in the Cloud) presented at the AGU Fall Meeting 2025. GeoAI represents the intersection of geospatial science and artificial intelligence, combining the power of machine learning with geographic information systems (GIS) to analyze, understand, and predict spatial patterns. This rapidly growing field enables us to extract meaningful insights from satellite imagery, aerial photos, and other geospatial datasets at unprecedented scales and accuracy levels. The GeoAI Python package (https://opengeoai.org) simplifies the application of deep learning models to geospatial data, making advanced AI techniques accessible to researchers, analysts, and practitioners in environmental science, urban planning, agriculture, and disaster management. The package provides a unified interface for: Data Preprocessing: Automated handling of various geospatial data formats, coordinate systems, and multi-spectral imagery Model Training: Pre-configured deep learning architectures optimized for geospatial tasks like semantic segmentation and object detection Feature Extraction: Automated extraction of geographic features from satellite and aerial imagery Visualization: Interactive mapping and analysis tools for exploring results In this workshop, you will: Discover the core capabilities of the GeoAI package, including data preprocessing, feature extraction, and geospatial deep learning workflows See live demonstrations on applying state-of-the-art AI models to satellite and aerial imagery Learn how to train custom segmentation models for surface water mapping using different data sources Explore real-world use cases in building footprint extraction and surface water mapping --------------------------------------------------------- 📌 More Resources: 📺 GeoAI Playlist: https://www.youtube.com/playlist?list=PLAxJ4-o7ZoPcvENqwaPa_QwbbkZ5sctZE 📚 Get My Books: 📘 Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools 👉 Amazon: https://amazon.com/dp/B0FFW34LL3 👉 Leanpub: https://leanpub.com/gispro 📘 Spatial Data Management with DuckDB: From SQL Basics to Advanced Geospatial Analytics 👉 Amazon: https://amazon.com/dp/B0G2JFMFFC 👉 Leanpub: https://leanpub.com/duckdb 👋 Let’s Connect: YouTube: https://youtube.com/@giswqs LinkedIn: https://www.linkedin.com/in/giswqs Twitter: https://twitter.com/giswqs Facebook: https://www.facebook.com/groups/opengeos
