Geoscientist · Geohazards · Remote Sensing · UAS — Medellín, Colombia 🇨🇴
I work at the intersection of Earth sciences, spatial data, and emerging sensing technologies. Currently a researcher at SIATA (Medellín's multi-hazard early warning system) and adjunct professor at Universidad EAFIT, I design early-warning pipelines that fuse field instrumentation, satellite imagery, drone-derived data, and machine learning to monitor and forecast natural hazards in the tropical Andes.
Geohazards & Natural Hazard Modeling
- Physically-based slope stability models (SHALSTAB, TRIGRS, FLO-2D)
- Real-time early warning algorithms for landslides and debris flows
- Rainfall-triggered hazard forecasting under climate change scenarios
Remote Sensing & Earth Observation
- Multispectral and SAR image processing for land cover and deformation mapping
- Change detection and anomaly identification with satellite time series
- Google Earth Engine workflows for large-scale geospatial analysis
UAS / Drone Operations
- Photogrammetric surveys for DEM generation and volumetric analysis
- Multispectral and RGB imagery acquisition in difficult terrain
- Point cloud processing and orthomosaic production
Geospatial Data Science
- Python-based geospatial pipelines (GeoPandas, Rasterio, GDAL, scikit-learn)
- GIS analysis and cartographic production (QGIS, ArcGIS Pro)
- Machine learning for susceptibility mapping and hazard classification
- M.Sc. Water Resources Engineering — Universidad Nacional de Colombia (2022)
- B.Sc. Geological Engineering — Universidad Nacional de Colombia (2017)
Python · R · Google Earth Engine · QGIS · ArcGIS Pro
Rasterio · GeoPandas · scikit-learn · GDAL · OpenDroneMap
SHALSTAB · TRIGRS · FLO-2D · InSAR · SAR
Key peer-reviewed publications on geohazards, climate change, and spatial analysis:
→ Google Scholar
→ Website: federicogmz.github.io
→ Email: fjgomezc@eafit.edu.co
→ LinkedIn: linkedin.com/in/federicogmz
→ ORCID: 0000-0002-8525-4354
For the full profile — experience, publications, and code — visit my website above.