Ayaaaa331/Nigeria-cdr-project

Reusable spatial data framework for deployment-site analysis in Carbon Dioxide Removal logistics. # Nigeria CDR Project ## Overview This repository contains the reproducible Python workflow developed during my Independent Study on spatial data infrastructure for Carbon Dioxide Removal (CDR) logistics. The current implementation focuses on building a deployment-site database for Nigeria by integrating multiple spatial datasets into a common 5 km grid. ## Current workflow - ESA WorldCover processing - 5 km spatial grid generation - Land-cover fraction calculation - Copernicus DEM download - Elevation extraction - Slope calculation ## Repository contents ``` data/ # Raw and processed input datasets (large files stored externally) notebooks/ # Step-by-step processing workflow outputs/ # Sample outputs produced by the workflow scripts/ # Standalone processing scripts (future) requirements.txt # Python package dependencies README.md # Project documentation .gitignore # Files excluded from version control ``` ## Outputs The `outputs/tables/` folder contains a **sample** of the generated deployment-site database (`deployment_site_database_v2_sample.csv`). The complete database and processed raster files are not stored in this repository because of their size. They will be maintained externally (e.g., SharePoint/OneDrive) while this repository provides the fully reproducible workflow required to regenerate them. ## Reproducibility All processing steps are documented in the notebooks. Running the notebooks in sequence reproduces the deployment-site database from the original input datasets.