Image Analysis Using Ia And Deep Learning In Arcgis Pro
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.28 GB | Duration: 1h 10m
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.28 GB | Duration: 1h 10m
Unlocking the Power of Artificial Intelligence for Geospatial Insights and Automation.
What you'll learn
Basic Concepts of AI and Deep Learning.
Application of AI and Deep Learning in ArcGIS Pro.
Workflow for creating models with Deep Learning and ArcGIS Pro.
ESRI Pretrained Models.
Creating your own model from high-resolution images.
Using Deep Learning tools in ArcGIS Pro.
Requirements
Have ArcGIS Pro installed.
Basic knowledge of Geographic Information Systems.
Description
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!
Overview
Section 1: Course Introduction
Lecture 1 Welcome to the course
Section 2: Introduction
Lecture 2 Introduction to AI and Deep Learning
Lecture 3 Geographic Information Systems and Deep Learning
Lecture 4 Applications of Deep Learning in Geographic Information Systems
Lecture 5 Workflow for Training a Deep Learning Model in ArcGIS Pro
Lecture 6 Introduction to ESRI's Pre-Trained Models in ArcGIS Pro
Lecture 7 Hardware Requirements
Lecture 8 Install Deep Learning Libraries
Lecture 9 Image Analysis Tools
Section 3: Working with ESRI Pre-trained Models in ArcGIS Pro
Lecture 10 ESRI Pre-trained Models in ArcGIS Living Atlas
Lecture 11 Download the Material for the Practical Exercises
Lecture 12 Exercise 1 - Car Detection
Lecture 13 Exercise 2 - Crowd Counting
Lecture 14 Exercise 3 - Building Footprint (Digitization)
Lecture 15 Exercise 4 - Plant Disease Detection.
Lecture 16 Exercise 5 - Tree Detection
Section 4: Create a Model for Frailejón Detection Using Deep Learning Tools
Lecture 17 Introduction to Frailejones
Lecture 18 Prepare Training Data
Lecture 19 Train Model
Lecture 20 Run Model - Part 1
Lecture 21 Run Model - Part 2
Lecture 22 Final Message
Specialists in Geographic Information Systems.,Environmental engineers.Geographers.,Researchers and academics.,Photogrammetrists and cartographers.,Urban planners and designers.,Civil engineers and surveyors.,Agronomists.,Engineers in general.