Geodata Scientist

Rodrigo Brust

Remote Sensing · Geospatial analysis · Machine Learning & Deep Learning ·

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About · Projects · Publications · Courses · CV

About

Data scientist and engineer focused on Geospatial Applications with international experience. I build geospatial pipelines, analyze satellite imagery, use machine learning and deep learning to develop tools for environmental monitoring, insurance sustainable land use, mining, and infrastructure monitoring.

Currently working as a Geospatial Data Scientist at Enline (Portugal), holding a master's degree in Geospatial Data Science and Remote Sensing. Previously at OreFox AI (Australia), where I built the remote sensing pipelines from scratch for mineral exploration.

I care about writing clean, reproducible code — and about making geospatial data accessible for real-world decisions.

Tools & Stack

  • Python · NumPy · GeoPandas · Rasterio
  • Google Earth Engine · GDAL · QGIS · PDAL
  • PostgreSQL · PostGIS · DuckDB
  • Git · Docker · Airflow · Streamlit
  • Machine Learning · Deep Learning

Projects

Research · Computer Vision

Morphological Mathematics & Tree Structures

Master's thesis. Novel Estimated Slope attribute for pattern spectra on component trees. NumPy/SciPy, Higra-compatible implementation.

Python NumPy SciPy Higra
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Publications

2023

Journal Article

Hazard Mapping in Urban Environmental Protected Areas: Tijuca National Park

Rodrigo B Santos, Francisco Dourado, Leonard Schumm

urbe. Revista Brasileira de Gestão Urbana, vol. 15, e2020210

PDF → Scholar →
2024

Master's Thesis

Evaluation of Image Pattern Feature Extraction From Digital Elevation Model for Hydrogen Seeps Detection

Rodrigo Brust Santos

Paris-Lodron University Salzburg (PLUS) & University of South Brittany (UBS) — Data Science Specialization, June 2024

Supervisors: Dr. Zahra Dabiri (PLUS) · Prof. Dr. Sébastien Lefrèvre (UBS)

PDF →
2025

Conference Paper

Data Processing with Computer Vision and Geological Implicit Modelling Application in Viability Study of Eolic Power Plants, a Case Study in Rio Grande do Norte

R. C. Hammerle, R. Brust Santos, J. Yasbek, F. Moura

18° Congresso Brasileiro de Geologia de Engenharia e Ambiental, 7 pp.

Scholar →

Free Courses

Free · Python

Python applied to Geology Analysis

Introduction to Python programming aiming Geological Analysis. Learn how to open files, do structural plotting and create remote sensing compositions.

Python GeoPandas Rasterio
→ Free · QGIS

QGIS for Geological Mapping

Learn how to create maps in QGISbased on the information you collected from the field.

QGIS GIS
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