Course | DEA101-en | Digital Earth Africa Learning Platform

1. How to use the Digital Earth Africa Learning Platform
2. Community forum
3. Certificate of Completion
4. French language options
5. Weekly live webinar
1. 1.1 Introduction (1 Question)
  
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2. 1.2 Create a Digital Earth Africa Account (1 Question)
  
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3. 1.3 Navigating the Sandbox
4. 1.4 Running a Notebook (1 Question)
  
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5. 1.5 Session 1 Quiz (1 Question)
  
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1. 2.1 Introduction
2. 2.2 Digital Earth Africa Products (1 Question)
  
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3. 2.3 Digital Earth Africa Map (1 Question)
  
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4. 2.4 Data Availability (1 Question)
  
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5. 2.5 Loading data in the Sandbox (1 Question)
  
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6. 2.6 Session 2 Solution & Quiz (3 Questions)
  
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1. 3.1 Introduction
2. 3.2 Introduction to cloud-free composites (1 Question)
  
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3. 3.3 Cloud masking with load_ard() (1 Question)
  
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4. 3.4 Create a geomedian composite (1 Question)
  
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5. 3.5 Session 3 Solution & Quiz (3 Questions)
  
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1. 4.1 Introduction
2. 4.2 Band indices (1 Question)
  
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3. 4.3 Calculating NDVI: Part 1 (1 Question)
  
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4. 4.4 Calculating NDVI: Part 2 (1 Question)
  
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5. 4.5 Session 4 Solution & Quiz (3 Questions)
  
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1. 5.1 Overview
2. 5.2 Building a case study: vegetation analysis (1 Question)
  
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3. 5.3 Exercise: Vegetation change detection (1 Question)
  
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4. 5.4 Session 5 Solution & Quiz (2 Questions)
  
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1. 6.1 Introduction
2. 6.2 Introduction to water analyses (1 Question)
  
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3. 6.3 Exercise: Determining the extent of water bodies (1 Question)
  
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4. 6.4 Session 6 Solution & Quiz (3 Questions)
  
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1. Course conclusion (1 Question)
  
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1. Python basics overview
2. Python basics 1: Jupyter
3. Python basics 2: Numpy
4. Python basics 3: Matplotlib
5. Python basics 4: Cleaning Data
6. Python basics 5: Xarray
7. Python basics exercise solutions
1. 📖 Course Overview
2. 🏆Certificate of Completion
3. 🗓️Weekly Live Webinar
4. 💬Community Forum & Support
5. 🇫🇷French Language Options
1. 1.1 Session Overview and Welcome
2. 1.2 Welcome & Navigation (Knowledge Check)
3. 1.3 Create a Digital Earth Africa Account (Knowledge Check)
4. 1.4 Bookmarking & Progress Tracking
5. 1.5 Community, FAQs, Help Desk — Where to Get Help
6. 1.6 Session Quiz
7. 1.7 Session Conclusion
1. 2.1 Overview and welcome
2. 2.2 Ways to Access DE Africa
3. 2.3 When to Use Which? (No-Code, Low-Code, Full-Code)
4. 2.4 Hands-on: Web GIS (Browse Layers, Basics, Quick Wins)
5. 2.5 Hands-on: Direct Access (Data Locations, Formats, Basic Tooling)
6. 2.6 Hands-on: ODC–STAC (Discovery Queries, Minimal Examples)
7. Session 2 Quiz
8. 2.7 Session Conclusion
1. 3.1 Welcome
2. 3.2. Product Catalogue Overview
3. 3.3 Data Availability (Spatial & Temporal)
4. 3.4 Explore in Web GIS (Browse Layers, Quick Viewing)
5. 3.5 Access via Direct Access (Cloud Storage)
6. 3.6 Access via ODC–STAC (Queries and Common Fields)
7. 3.7 Session Quiz
8. 3.8 Session Conclusion
1. 4.1 Overview and welcome
2. 4.2 Visualising Layers in Web GIS
3. 4.3 Simple Exports and Direct Access
4. 4.4 Composites & Indices (Concepts)
5. 4.5 Session Quiz
6. 4.6 Session Conclusion
1. 5.1 Overview and welcome
2. 5.2 What the Sandbox is (and when to use it)
3. 5.3 Jupyter 101 (very short primer)
4. 5.4 Access checklist (Knowledge Check)
5. Session 5: Conclusion
6. Session 5: Quiz
1. 1.1 Overview and welcome
2. 1.2 Launching the Sandbox & JupyterLab tour (Knowledge Check)
3. Session 1 Quiz
1. 6.1. Topic Title
2. 6.2. Topic Title
3. Session 6: Quiz
1. Course Conclusion
1. Python Basics Overview

Course information

How to use the Digital Earth Africa Learning Platform

Community forum

Certificate of Completion

French language options

Weekly live webinar

Session 1 - Introduction

1.1 Introduction (1 Question)

1.2 Create a Digital Earth Africa Account (1 Question)

1.3 Navigating the Sandbox

1.4 Running a Notebook (1 Question)

1.5 Session 1 Quiz (1 Question)

Session 2 - Datasets

2.1 Introduction

2.2 Digital Earth Africa Products (1 Question)

2.3 Digital Earth Africa Map (1 Question)

2.4 Data Availability (1 Question)

2.5 Loading data in the Sandbox (1 Question)

2.6 Session 2 Solution & Quiz (3 Questions)

Session 3 - Composites

3.1 Introduction

3.2 Introduction to cloud-free composites (1 Question)

3.3 Cloud masking with load_ard() (1 Question)

3.4 Create a geomedian composite (1 Question)

3.5 Session 3 Solution & Quiz (3 Questions)

Session 4 - Indices

4.1 Introduction

4.2 Band indices (1 Question)

4.3 Calculating NDVI: Part 1 (1 Question)

4.4 Calculating NDVI: Part 2 (1 Question)

4.5 Session 4 Solution & Quiz (3 Questions)

Session 5 - Vegetation analyses

5.1 Overview

5.2 Building a case study: vegetation analysis (1 Question)

5.3 Exercise: Vegetation change detection (1 Question)

5.4 Session 5 Solution & Quiz (2 Questions)

Session 6 - Water analyses

6.1 Introduction

6.2 Introduction to water analyses (1 Question)

6.3 Exercise: Determining the extent of water bodies (1 Question)

6.4 Session 6 Solution & Quiz (3 Questions)

Course conclusion

Course conclusion (1 Question)

Extra session: Python basics

Python basics overview

Python basics 1: Jupyter

Python basics 2: Numpy

Python basics 3: Matplotlib

Python basics 4: Cleaning Data

Python basics 5: Xarray

Python basics exercise solutions

Course Information

📖 Course Overview

🏆Certificate of Completion

🗓️Weekly Live Webinar

💬Community Forum & Support

🇫🇷French Language Options

Introduction to Digital Earth Africa: Platforms & Access – Part 1

Session 1: Orientation & Accounts

1.1 Session Overview and Welcome

1.2 Welcome & Navigation (Knowledge Check)

1.3 Create a Digital Earth Africa Account (Knowledge Check)

1.4 Bookmarking & Progress Tracking

1.5 Community, FAQs, Help Desk — Where to Get Help

1.6 Session Quiz

1.7 Session Conclusion

Session 2: Access Pathways Overview

2.1 Overview and welcome

2.2 Ways to Access DE Africa

2.3 When to Use Which? (No-Code, Low-Code, Full-Code)

2.4 Hands-on: Web GIS (Browse Layers, Basics, Quick Wins)

2.5 Hands-on: Direct Access (Data Locations, Formats, Basic Tooling)

2.6 Hands-on: ODC–STAC (Discovery Queries, Minimal Examples)

Session 2 Quiz

2.7 Session Conclusion

Session 3: Products & Data Fundamentals

3.1 Welcome

3.2. Product Catalogue Overview

3.3 Data Availability (Spatial & Temporal)

3.4 Explore in Web GIS (Browse Layers, Quick Viewing)