Daily Progress Report

While computer vision models can be trained to quickly identify areas of the rainforest that have been significantly damaged, signs of deforestation can be challenging for a computer to see at first. It takes human eyes to properly classify images in order to build models that can detect the subtle differences between satellite imagery. For every image that you select as an area of deforestation in our crowdsourcing project, SAS and our partners get closer to building a model that can alert governments and conservation organizations.

From Earth Day, April 22, 2020, through February 2021, citizen scientists like yourself across 95 countries have classified nearly 90,000 satellite images of the Amazon rainforest. The results can be reviewed here.

Our work is not finished. From March 2021 on, we will continue combining SAS AI technology, your human input, and our partner’s expertise to identify where changes are occurring over time. This could one day help predict where deforestation is likely to happen next.

Note: The results below are based on crowdsourced consensus, meaning multiple agreements from citizen scientists like yourself are required to be reflected as one result. The results are provided in the charts below, which are updated twice daily.