gfw checker

The gfw checker performs a cross-validation between satellite-derived forest disturbance signals and officially reported forest cover changes for a defined region and period. It outputs a risk_score, a status, and detailed flags that explain how inputs align or diverge. Conceptually, the tool treats forest monitoring data as evidence and applies a rule-based aggregation to surface inconsistencies that matter for governance and due diligence. Users including analysts, policy teams, and sustainability practitioners gain a reproducible method to quantify data alignment and to document potential data gaps. Core value lies in enabling objective risk signaling, supporting audit trails, and informing decision-making for supply chain risk management. Key features include input validation, configurable datasets, cross-check calculations, and exportable results for reporting and external review. Use cases include verifying reported deforestation trends, assessing data quality for compliance programs, and monitoring regional integrity over time. The tool differentiates itself by providing a transparent, auditable scoring mechanism and explicit flag reasons that map to data signals and completeness.