Nelson Gouveia
Postdoctorial Fellow in Geography, University of Victoria
Contact
Spectral Lab Research:
As part of the Sargassum Project, I am developing a predictive model to forecast the influx of Sargassum along the northern coast of Brazil. The objective is to better understand how oceanographic, continental, and atmospheric variability influences the dynamics, transport pathways, and coastal landfall of Sargassum. The project also aims to assess the vulnerability of affected coastal regions, with a focus on environmental, social, economic, and public health impacts.
Background:
I am a scientist dedicated to understanding interconnected processes that link continental hydrology and biological and physical processes in the oceans and atmosphere. My work focuses on understanding the interactions between these systems to address pressing environmental challenges. With a strong interdisciplinary background, I am passionate about leveraging advanced data analysis techniques, modeling, and remote sensing to tackle environmental issues. I hold a PhD and a Master's degree in Remote Sensing, with expertise in data science, machine learning, hydrodynamic modeling, and Lagrangian ocean modeling.
expertise and experience:
remote sensing, modeling, hydrology, data science, machine learning
Publications:
Furtado, M. D. S. C., Queiroz, J. C. B., Bentes, B., Gouveia, N. D. A., de Lima, M. J. A., Ruffino, M. L., & Isaac, V. (2024). How does climate change affect small scale fisheries? A case study of the Lower Amazon in Brazil. Fisheries Management and Ecology, 31(1), e12654. https://doi.org/10.1111/fme.12654