New community models and probability maps of forest-risk commodities from Google support deforestation risk assessment, such as what is needed under the EUDR.

The Forest Data Partnership unites with leading organizations to develop open source digital infrastructure to accelerate supply chain traceability and EUDR compliance.

On November 27, the Forest Data Partnership will be presenting at the South-South Knowledge Exchange on data governance and data sharing, capacity development and meeting demand-side requirements for forest monitoring.

In a webinar on “Mobilizing Impact: How GFW Drives Innovation and Collaboration to Combat Deforestation”, held on August 8, the Forest Data Partnership presented how it is leveraging open source data with new solutions that support deforestation assessment and regulatory compliance.

While the quantity and quality of data available on land use and land cover have increased rapidly, this has also introduced complex challenges for the supply chain actors who use this data. Here, we identify the most pressing challenges, along with the opportunities to improve coordination and scale current efforts.

The Forest Data Partnership and the AIM4Forests Programme have developed an innovative solution called Whisp to implement the convergence of evidence approach, bringing together multiple data sets to capture nuanced information on a specific plot of land.

Join us for the webinar where we will unpack findings from a new WRI report, explore priority action areas for closing key gaps, and showcase collaborative approaches to advancing traceability and transparency. Simultaneous interpretation in Bahasa Indonesia, French, Portuguese and Spanish.

Traceability and transparency in supply chains are necessary to understand the impact of commodities on forests. This report discusses success factors and enabling conditions to improve resource use and reduce forest loss, providing an updated evidence base to inform and advance collaborative discussions and actions on traceability and transparency.