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 classified nearly 90,000 satellite images of the Amazon rainforest. The results from the first phase can be reviewed here.
Our work is not finished. During the second phase, which started March 2021, 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.
Human Impact
No Human Impact
Recent Human Impact
Not Yet Classified
Current Assessments
Through crowdsourcing, citizen scientists from 110 countries helped identify human impact in 90,000 satellite images of the Amazon rainforest during phase one.
Today, in phase two, our goal is to classify 45,000 more images to identify recent human impact in these areas. Here’s our progress towards reaching our goal for phase two and how much more we need to do.
Classification Map
Based on previous input, this map shows smaller areas of the Amazon rainforest where we are focusing efforts to identify more recent deforestation. By using image data from this ecologically diverse territory, we are giving our model a wide variety of examples so that it can one day learn to detect human impact anywhere in the Amazon. Here's our current progress to date for phase two.
Human Impact
No Human Impact
Recent Human Impact
Not Yet Classified
Current Area Coverage
Over both phases of this project, we will evaluate more than 1 million square kilometers of the Amazon, including over 700,000 square kilometers from phase one, plus our current project goal to evaluate over 400,000 square kilometers. Here's our current progress for phase two.
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