Geospatial Artificial Intelligence

As a result of technological improvements over the previous decade, vast amounts of data have become freely available. In order to visualize patterns and trends in such huge amounts of data, some form of cognitive advanced analytics is required. Artificial Intelligence (AI), Machine Learning, and Deep Learning are used to make intelligent decisions in a variety of domains, including health, agriculture, geography, and others.

Learning objectives

After completing this module, you will be able to demonstrate the theoretical knowledge of:

• Differentiating between Al and Geospatial Al (Geo Al)
• Understanding the advantages and disadvantages of Artificial Intelligence
• Explain the concepts of Machine Learning in Geospatial Intelligence
• Explore and explain the applications of Deep Learning in Geospatial Intelligence