AI in GIS & Remote Sensing (GeoAI)

COURSE DESCRIPTION

This course introduces the integration of artificial intelligence with GIS and remote sensing to solve complex spatial problems. It covers the fundamentals of AI, machine learning, and deep learning, and demonstrates how these technologies are applied to geospatial data and satellite imagery.

Participants will learn how to use Python, geospatial libraries, and AI frameworks to analyze spatial data and perform image-based tasks such as land-use/land-cover classification and object detection. The course emphasizes practical GeoAI applications in areas such as urban planning, agriculture, and environmental monitoring.

You will learn to:

• Understand AI, ML, and DL concepts in a geospatial context

• Explore GeoAI applications across different domains

• Use Python and geospatial libraries for GeoAI workflows

• Apply CNNs for satellite image classification

• Detect features such as roads, buildings, vegetation, palms, and ships

Level: Advanced – prior GIS, remote sensing, and basic programming knowledge recommended