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Agri-Water Hackathon 2026

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  1. Lesson 1: Advanced technologies for in-situ data collection
    8 Topics
    |
    1 Quiz
    1. 1. Learning Objectives
    2. 2. Introduction
    3. 3. Participatory Mapping
    4. 4. Example 1: Participatory Mapping Using Smartphones
    5. 5. Low-cost Sensors and Microcontrollers
    6. 6. Example 2: Turbidity Sampling with Low-Cost Technology
    7. 7. Summary & Future Trends
    8. 8. Additional Resources and References
    • 9. Short Quiz: Advanced Technologies for In-Situ Data Collection
  2. Lesson 2: Remote sensing-based vegetation mapping
    10 Topics
    |
    1 Quiz
    1. 1. Learning Objectives
    2. 2. Introduction
    3. 3. How does Satellite Imaging Work?
    4. Indices
    5. Classification
    6. 4. Example 1: NDVI Vegetation Maps for Burkina Faso
    7. 5. Example 2: Crop Insurance Claim Verification with NDVI
    8. 6. In-situ land Surveying and Satellite or Aerial Imaging
    9. 7. Summary
    10. 8. Additional Resources and References
    • 9. Short Quiz: Remote Sensing-Based Vegetation Mapping
  3. Lesson 3: Biodiversity Assesment
    1 Topic
    1. 1. Introduction
  1. Agri-Water Hackathon 2026
  2. Lesson 2: Remote sensing-based vegetation mapping
Lesson 2 of 3
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Lesson 2: Remote sensing-based vegetation mapping

Henryk Hodam

This lesson covers the basics of remote sensing and examples of its applications in agriculture and water management.

Lesson Content
0% Complete 0/10 Steps
1. Learning Objectives
2. Introduction
3. How does Satellite Imaging Work?
Indices
Classification
4. Example 1: NDVI Vegetation Maps for Burkina Faso
5. Example 2: Crop Insurance Claim Verification with NDVI
6. In-situ land Surveying and Satellite or Aerial Imaging
7. Summary
8. Additional Resources and References
9. Short Quiz: Remote Sensing-Based Vegetation Mapping

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