Feature

Using AI to Anticipate Deforestation

Pedro Ivo Ferraz da Silva on how AI and satellite data can help predict and prevent deforestation in the Amazon.

In this interview, Pedro Ivo Ferraz da Silva discusses the evolution of Brazil’s systems for monitoring deforestation, from annual records to near real-time alerts and predictive tools. He explores how AI can analyze satellite data to identify newly opened illegal roads and anticipate potential deforestation hotspots in the Amazon. He also highlights the importance of locally developed solutions, institutional knowledge and trust between research institutions and law enforcement agencies in turning this data into effective action.

Recorded during “Deploying AI for Better Sustainability Metrics and Improved Environmental Policymaking”, a roundtable convened by UNU-CPR and the Yale Center for Environmental Law & Policy during the 81st session of the United Nations General Assembly.

The views expressed in this interview are those of the speaker and do not necessarily reflect the views of UNU-CPR or the United Nations.

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