Supporting REDD+ Readiness Preparation and Implementation in Sudan

• Adapted forest monitoring activities to conflict conditions by shifting from field-based data collection to high-resolution remote sensing and virtual workflows.
  
• Applied advanced remote sensing tools, including Google Earth Collect and SEPAL, to generate national Activity Data for forest monitoring and REDD+ reporting.
  
• Trained a national team of 18 Sudanese experts in remote sensing, data acquisition, validation, and analysis to strengthen long-term technical capacity.
  
• Supported women’s leadership in forest monitoring by ensuring strong female participation and leadership within the technical team.
  
• Analysed and classified 7 558 sample plots covering the entire national territory to produce consistent land-use and forest cover data.
  
• Integrated satellite imagery and GEDI LiDAR data to improve biomass modelling and carbon stock estimation for REDD+ readiness.
  
• Generated evidence-based data on forest loss, gain, degradation, and stability to inform national climate reporting and policy decisions.
  
• Embedded Activity Data methodologies into Sudan’s National Forest Monitoring System to ensure sustainable, repeatable, and transparent forest monitoring.

• Forest monitoring sustained under conflict: National forest monitoring continued despite insecurity and lack of field access through advanced remote sensing and virtual workflows.
• UNFCCC-ready results delivered: Robust Activity Data and biomass models supported the development and submission of Sudan’s Forest Reference Level.
• National capacity strengthened: 18 Sudanese experts trained in remote sensing, data validation and biomass modelling for long-term MRV and forest monitoring.
• Women leading climate action: Women made up over three quarters of the technical team and led data generation, coordination and analysis under extreme conditions.
• Higher-quality forest data: 7 558 sample plots analysed across 188 million hectares, improving accuracy, transparency and repeatability of forest and carbon stock data.

https://www.greenclimate.fund/document/supporting-redd-readiness-preparation-and-implementation-sudan#:~:text=PDF%20%7C%201.53%20MB-,Supporting%20REDD%2B%20Readiness%20Preparation%20and%20Implementation%20in%20Sudan,carbon%20removal%20projects%20and%20programme.