
A Deforestation Prediction System in Amazon Forest based on Neuro-Symbolic AI
The tropical forests of the Brazilian Legal Amazon (ALB) play an essential role in global climate regulation and biodiversity conservation, yet continue to face severe pressures from fire, logging, illegal mining, and extreme droughts. In response to these critical environmental challenges, this research initiative is developing an advanced intelligent monitoring system designed to predict and alert for emerging deforestation and degradation zones across the Amazon.
Led by INESC-ID alongside principal investigator Fabio Augusto Faria, in partnership with INPE, UNIFESP, IEAv, and IST/ULisboa, and funded by Portugal’s Fundação para a Ciência e a Tecnologia (FCT), the project brings together specialists in artificial intelligence, remote sensing, and geosciences