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Ricardo Dal'Agnol da Silva

CV Lattes ResearcherID ORCID

Ministério da Ciência, Tecnologia e Inovações (Brasil). Instituto Nacional de Pesquisas Espaciais (INPE)  (Institutional affiliation from the last research proposal)
Birthplace: Brazil

Environmental Engineer (2011), Master (2014) and Doctor (2020) in Remote Sensing from the National Institute for Space Research (INPE/Brazil). He has experience with several applications in the area of Biogeosciences, with a focus on tropical ecology, nature conservation and environmental monitoring in the Amazon rainforest. He specializes in conducting quantitative research using advanced data types such as high-resolution satellite optical and airborne LIDAR data, as well as methods such as deep learning convolutional neural networks. He currently works as a postdoc researcher at the University of California Los Angeles (UCLA), investigating forest degradation mapping in tropical forests with deep learning. (Source: Lattes Curriculum)

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