Learn the latest geospatial AI models and tools with Exploring GeoAI: Tools and Workflows. Use comprehensive, hands-on tutorials for implementing cutting-edge deep learning models and workflows―perfect for anyone ready to apply the transformative potential of GeoAI in their organizational operations.

Start by learning how to install deep learning frameworks, confirm hardware capabilities, and optimize system settings for peak performance. Then, progress through the complete GeoAI workflow: determining project needs, reviewing available data types and formats, assessing and training models, and evaluating performance with confidence.

Work through chapters that reinforce learning through carefully crafted tutorials featuring real-world datasets and step-by-step guidance. This approach enables you to quickly build the expertise to address complex spatial challenges. The tutorials demonstrate workflows for a variety of ready-to-use, pretrained deep learning models in ArcGIS Pro and ArcGIS Online, showcasing an evolving platform with powerful geospatial tools.

Key topics include:

Installing and configuring deep learning frameworks
Troubleshooting common technical challenges
Selecting and evaluating models
Detecting and classifying objects
Transfer learning
Classifying lidar point clouds
Using predictive spatial analysis

This essential guide will empower readers with the practical skills to implement GeoAI and efficiently automate, predict, and optimize their geospatial work.

About the Authors

Ismael Chivite is is Distinguished Product Manager for Geospatial AI at Esri.

Nicholas Giner is a Senior Product Manager for Analytics and Data Science at Esri.

Craig Carpenter is a Senior Product Engineering Writer on the Esri Press Books team and helps develop and improve ways of learning GIS.

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