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Introduction to GeoAI

Introduction

Learning Objectives

What is GeoAI?

A Brief History

Why Spatial Data is Different

Key Applications of GeoAI

Urban Planning and Smart Cities

Agriculture and Food Security

Environmental Monitoring and Conservation

Disaster Response and Humanitarian Aid

Water Resources Management

Public Health and Epidemiology

The Python Ecosystem for GeoAI

Deep Learning Frameworks

Geospatial Data Libraries

Interactive Visualization

The GeoAI Package

Segment Anything for Geospatial

Core AI Tasks in Geospatial Analysis

Image Recognition

Object Detection

Semantic Segmentation

Instance Segmentation

Image Translation

Change Detection

Pixel Regression

From Traditional Methods to Foundation Models

Key Takeaways

Exercises

Exercise 1: Exploring GeoAI in the Real World

Exercise 2: Comparing Spatial and Non-Spatial Data

Exercise 3: Matching Tasks to Problems