Ana Larissa Ribeiro de Freitas

PhD student in Remote Sensing (INPE) with an emphasis on Temporary Crop Monitoring and the use of SAR, Geographer (UFC, 2017) and Master in Remote Sensing (INPE, 2021). Postgraduate in Business Intelligence, Big Data and Analytics (UNOPAR, 2022). She conducts research in the Caatinga and Cerrado, using the Earth Observation Data Cube to classify SAR image time series with Deep Learning. She received support for her master's degree from the Funbio Scholarship Program - Conserving the Future 2019. Interests: Remote Sensing, SAR, Climate Change, Temporary Crops, Monitoring, Data Cube, Land Use and Land Cover Dynamics. (Source: Lattes Curriculum)