🇬🇧 English · 🇧🇷 Português (Brasil)
FOCUS: COASTAL SYSTEMS · GEOINFORMATION · OPEN SCIENCE
I have a degree in Systems Analysis and Development and a specialization in Data Analysis. I am currently pursuing a master's degree in Environmental Science and Technology and an undergraduate degree in Oceanography at the Federal University of Maranhão (UFMA).
My work brings together environmental data analysis, remote sensing, geoprocessing, and spatial modelling.
Global mangrove distribution · A visual overview of the coastal ecosystems at the heart of my research
{
"current_project": "BR-MANGUE Studio",
"research_focus": ["mangroves", "coastal systems", "spatial modelling"],
"approach": "geotechnologies and reproducible scientific software"
}
A Python desktop application for simulating and exploring mangrove spatial dynamics. It combines raster data and environmental scenarios to produce maps, annual trajectories, and reproducible outputs.
Developed in the research environment of GEOTAM/UFMA.
| Development laboratory GEOTAM / UFMA · Core lab  |
Partner laboratory MOceanS / INPE  |
Partner laboratory LAMA / UFMA  |
GEOTAM is the main laboratory associated with BR-MANGUE Studio's development. MOceanS and LAMA are research collaborators.
Research groups: LambdaGeo · CEGMANGUE
| Language | Applications |
|---|---|
| Python | Machine learning, remote sensing, cellular automata, and framework development |
| R | Biostatistics, multivariate analysis, geoprocessing, and LiDAR data |
| JavaScript | Google Earth Engine, climate analysis, land-cover mapping, and time series |
| Lua | Spatially explicit modelling and discrete dynamic-system simulation |
- Co-author of the 2025 Springer chapter Estimation of the Vulnerability of the Coastal Zone of the Amazon to Sea-Level Rise Due to Climate Change.
- Instructor of GeoPython with Google Earth Engine: Cloud-Based Environmental Analysis, a short course at FURG's 2025 Oceanography Academic Week.
Portfolio · LinkedIn · ORCID · Lattes CV · BR-MANGUE Studio