How I built a free carbon credit risk model using NASA satellite data, dbt, and Streamlit

[MyrinNew]

I spent 3 weeks building an open-source pipeline

that scores permanence risk for every blue carbon

project on Verra registry.


Here's the stack:


→ NASA FIRMS API — live satellite fire alerts

→ World Bank API — 9 years of deforestation data

→ dbt + DuckDB — data modeling and testing

→ Streamlit — deployed dashboard

→ GitHub Actions — CI on every push


The tricky parts:

1. NASA FIRMS uses MAP_KEY not bearer token
2. World Bank WGI indicators changed endpoint
3. Merging Verra IDs (numeric) with Berkeley
   IDs (VCS1234 format) required string parsing

Live dashboard: (https://likitha-blue-carbon.streamlit.app/)


Full codehttps://github.com/likitha-sree-data/dbt-carbon-mrv)


Happy to answer any technical questions in comments.




More...