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Agri-Water Hackathon 2026
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Lesson 1: Advanced technologies for in-situ data collection8 Topics|1 Quiz
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Lesson 2: Remote sensing-based vegetation mapping10 Topics|1 Quiz
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1. Learning Objectives
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2. Introduction
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3. How does Satellite Imaging Work?
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Indices
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Classification
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4. Example 1: NDVI Vegetation Maps for Burkina Faso
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5. Example 2: Crop Insurance Claim Verification with NDVI
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6. In-situ land Surveying and Satellite or Aerial Imaging
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7. Summary
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8. Additional Resources and References
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1. Learning Objectives
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Lesson 3: Biodiversity Assesment1 Topic
Lesson 1,
Topic 1
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1. Learning Objectives
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By the end of this lesson, students will be able to:
1. Understandย the importance of in-situ data for various applications, including land managment and land surface modelling.
2. Listย different tools that can be used to collect in-situ data.
3. Evaluateย opportunities and limitations of a data collection process.