Forest Health Assessment Through CNN
A drone-based NDVI imaging system for environmental health monitoring, integrating a Raspberry Pi with CNN-based analysis.
- Role
- Lead Software Developer
- Dates
- June 2023 — August 2024
- Capabilities
- Computer vision · Raspberry Pi / embedded systems · NDVI remote sensing · CNN model development
01
Problem / Opportunity
Ground-based forest health assessment is slow and hard to scale — remote imaging paired with automated analysis can cover more ground faster.
02
Role & Team
Lead Software Developer — imaging pipeline and CNN analysis.
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03
Process & Timeline
Integrated a Raspberry Pi with a drone-mounted imaging setup to capture NDVI data, then built a CNN pipeline to analyze the imagery for environmental health indicators.
04
Technical Approach
Raspberry Pi–based drone imaging system feeding NDVI imagery into a CNN model for automated environmental health analysis.
05
Key Decisions
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06
Challenges & Iteration
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07
Results & Outcomes
Built and integrated a full drone-to-CNN monitoring pipeline
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08
Reflection
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