Cibele is a Remote Sensing Scientist who currently works with cutting-edge remote sensing data processing and analytics, artificial intelligence models, open-source languages and tools, and cyberinfrastructure for scalable computing. She enjoys developing research workflows for multi-source data harmonization, cross-scale analysis, feature extraction, and data analytics and visualization. At Earth Lab, she does and helps scientists produce science and open-source tools that support sustainable development, climate change adaptation, and biodiversity conservation. She also advocates and works toward inclusive science through innovation, open science, and community engagement and education.
She holds a Bachelor’s degree in Forest Engineering (focused on forest ecology) from the Federal University of Vicosa (UFV), Brazil, and an M.Sc. and D.Sc. in Geoscience (GIS and remote sensing, respectively) from the University of Sao Paulo (USP), Brazil. Her doctoral dissertation is on artificial intelligence, and field and imaging spectroscopy to aid geological delineation through indicator tree species mapping in areas densely covered by tropical forests and savannas. She was also a post-doctoral researcher at the Brazilian National Institute for Space Researcher (INPE), and visiting scholar at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia, the University of California Santa Barbara (UCSB), United States, and the NASA Goddard Space Flight Center (NASA GSFC), United States. In the latter, she studied the drivers of the North Atlantic Basin mangrove forest vulnerability and resilience to cyclones using big data and machine learning, developed a new method for tracking degradation in wetland forests from Earth observation, and explored new space-borne lidar and hyperspectral sensor’s data for mangrove ecosystem studies. She was also a Professor of Remote Sensing and Geoprocessing at her alma mater (UFV) for six years, teaching classes to undergraduate and graduate students, supervising students and post-docs, and exploring remote sensing data and analytics in forestry, agriculture, and environmental sciences, before joining Earth Lab and ESIIL at CIRES, CU Boulder.