
Project Overview: SUD_CARB is an innovative technical framework designed for the monitoring, verification, and financial modeling of Blue Carbon restoration projects in Port Sudan and the Tokar Basin. This repository integrates environmental remote sensing with economic forecasting to create a transparent ecosystem for carbon sequestration.
Key Technical Components:
BFRI (Biological Financial Resilience Index): A proprietary algorithmic model that quantifies ecosystem health and resilience by integrating NDVI satellite data with financial risk parameters.
Predictive Modeling: Python-based scripts for stochastic scenario analysis, forecasting carbon stock growth and investor ROI through 2035.
Automated Data Pipeline: A systematic workflow that processes geospatial vegetation indices into bankable financial models.
Purpose: This release provides the source code and data models required to validate the ecological and economic viability of mangrove restoration, ensuring that climate action is both scientifically sound and financially sustainable.