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akeDataAnalyst/carbon-mrv-dryland-pipeline

Domain:

environment and energyclimate

Record type:

software
Creator:
ake
Host:
Carbon Measurement, Reporting, and Verification (MRV) pipeline tailored for dryland restoration projects in Ethiopia. # Dryland Carbon MRV Pipeline & Biomass Accounting Engine A professional MRV tool developed for high-integrity community carbon projects under Verra VM0047 ARR methodology ### Project Overview This project demonstrates a complete, production-ready Carbon Measurement, Reporting, and Verification (MRV) pipeline tailored for dryland restoration projects in Ethiopia. --- ### Problem Community-led forest monitoring in drylands often suffers from: - Inconsistent and error-prone field data (missing values, outliers, coordinate errors) - Lack of standardized QA/QC processes - Non-reproducible biomass and carbon calculations - Weak integration between field data and MRV requirements - Difficulty generating credible reports for Verra VM0047 verification ### Solution An end-to-end automated pipeline that: - Ingests raw community forest inventory data - Performs rigorous, auditable QA/QC with clear flagging - Applies dryland-appropriate allometric equations (Acacia-Commiphora group) - Calculates Above Ground Biomass (AGB), Carbon stock, and CO2e - Generates professional MRV-ready reports and visualizations - Provides an interactive Streamlit dashboard for project teams ### Key Features - Realistic field data with injected errors (real-world simulation) - Comprehensive QA/QC system with detailed reporting - Transparent biomass & carbon calculations - Plot-level and project-level summaries - Professional Excel + CSV exports - Interactive Streamlit Dashboard - Full audit trail and metadata ### Tech Stack - **Python** 3.10+ - **Pandas** & NumPy – Data processing - **Plotly** – Interactive visualizations - **Streamlit** – Interactive dashboard - **OpenPyXL** – Excel reporting - **python-dotenv** – Configuration management - **Pathlib** – Clean file handling --- ## Developed by **Aklilu Abera** | **E2E Data Analyst**

Visit

github.com

Licenses

MIT

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