The LEARN Tool: Everything You Need to Know About its Exciting 2025 Updates
Launched in 2021, the Land Emissions and Removals Navigator (LEARN) Tool was designed to help communities easily measure greenhouse gas […]
Launched in 2021, the Land Emissions and Removals Navigator (LEARN) Tool was designed to help communities easily measure greenhouse gas […]
Blue Raster is proud to announce two updates to GFW Pro that allow for more efficient analysis of supply chains in light of new international regulations. By applying the Accountability Framework, producers can better ensure that their supply chains adhere to international standards of sustainability and report to stakeholders and consumers the steps they are taking to secure a better future for people and the planet.
Blue Raster developed Global Forest Watch Pro, a decision support tool that empowers companies to monitor their supply chains for responsible environmental practices.
GFW Pro was designed with leading companies and financial institutions to translate geospatial data into actionable insights. It gives users a way to quickly and accurately monitor deforestation around the world.
The Blue Raster team worked with the Wildlife Conservation Society to customize unique workflows to connect their API with a custom Global Forest Watch MapBuilder platform.
Hundreds of companies around the world have signed on to the United Nations (UC) Sustainable Development Goal (SDG) 15: Life
Blue Raster is excited to announce the release of the World Resources Institute’s (WRI) Open Data Portal. Built with the
GFW Fires can now be used to explore fire events for every country around the world over the last five years, using two sensor products: VIIRS and MODIS. Fire history, cumulative fires to date, and a statistical analysis by administrative boundaries allow great insight into fire events within a country.
Blue Raster is proud to announce a major update to the LandMark interactive global mapping platform of community and indigenous
Blue Raster is proud to have worked with the World Resources Institute (WRI) and the Esri Big Data Team to