Image Analysis Using AI and Deep Learning in ArcGIS Pro

Unlocking the Power of Artificial Intelligence for Geospatial Insights and Automation.

Welcome to the course Image Analysis Using IA and Deep Learning in ArcGIS Pro!

In this course, you will dive into the exciting world of artificial intelligence (AI) and deep learning, applied to geographic information systems (GIS). Throughout this journey, we will explore how AI is transforming geospatial analysis, providing us with powerful tools to solve complex problems across various industries, from car detection and crowd counting to vegetation analysis and urban planning.

The course is divided into two parts:

Theoretical Part: We will lay the foundation to understand the fundamental concepts of AI, Machine Learning, and Deep Learning. Additionally, we will see how these integrate with GIS systems and explore some of the most impactful applications of Deep Learning in this field. We will also examine the workflow needed to develop your own models and review the pre-trained models offered by ESRI, giving you a clear idea of their utility in spatial analysis.

Practical Part: We will move from theory to action with a series of hands-on exercises. We will begin with five examples of pre-trained models that will allow you to familiarize yourself with the power of these tools for tasks like car detection, crowd counting, construction footprint digitization, and plant disease identification. Finally, we will wrap up with an exciting project where you will create your own Deep Learning model to identify frailejón plants in a high-resolution orthophoto, using the advanced tools of ArcGIS Pro.

This course is designed for both beginners and those with prior experience to make the most of it. You will not only learn technical concepts but also gain practical skills that you can apply to your geospatial analysis projects.

Thank you for joining this adventure! I am confident that by the end, you will feel more empowered to tackle the challenges of spatial analysis with AI and Deep Learning. Let’s get started!