GeoAI with Python

This book serves as a practical guide for understanding and implementing GeoAI, which combines artificial intelligence and machine learning with geospatial science. It offers a hands-on approach for readers to develop skills in applying advanced computational methods to spatial data challenges.

The resource focuses on utilizing Python and various open-source geospatial libraries to tackle real-world problems. Key topics include machine learning and deep learning techniques for processing remote sensing imagery, performing data analysis, and building predictive models for diverse geospatial applications.

Readers will gain expertise in areas such as classification, segmentation, and land-use-and-land-cover mapping. The book is designed to equip individuals with the knowledge to effectively analyze and interpret complex geospatial datasets, fostering a deeper understanding of GeoAI principles and their practical implementation.