Remote Sensing & Earth Observation | Deep Learning for Satellite Imagery
I'm a remote sensing researcher with a background in mathematics and an MSc in Artificial Intelligence & Visual Computing (University of West Attica & University of Limoges). I work as a Research Assistant at the Remote Sensing Lab of FORTH, on hyperspectral field campaigns, urban spectral libraries and satellite-based environmental monitoring with Sentinel-1/2 in Google Earth Engine.
🛰️ Interests: land-cover mapping · change detection · self-supervised learning · vision-language models for Earth Observation
📍 Thessaloniki, Greece
| 3D statue reconstruction | 3D map of Santorini |
|---|---|
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| Laser scanning + photogrammetry, interactive in the browser | QGIS + Qgis2threejs WebGL terrain and bathymetry |
GeoLoom: Zero-Shot Satellite Land-Cover Mapping by Aligning DINOv3 and CLIP A self-supervised pipeline that maps satellite imagery to land-cover classes without any labelled data. Paper in preparation - code will be released upon publication.
| Project | What it shows |
|---|---|
| Deep Learning for Land-Cover Classification (EuroSAT) | ResNet-50, EfficientNet-B0 and Swin Transformer on Sentinel-2 · 98.9% test accuracy |
| Multispectral Analysis: WorldView vs. Sentinel-2 | Pan-sharpening, spectral indices, SVM / Random Forest / OBIA classification |
| Applied GIS & Multi-Criteria Analysis | Site suitability in ArcGIS ModelBuilder, KDE, thematic cartography in QGIS |
| Advanced Spatial Analysis & Surface Modeling | Viewshed networks, DEM interpolation (TIN vs. ANUDEM), GDEM accuracy assessment, ModelBuilder automation |
| 3D Reconstruction: TLS vs. Photogrammetry | Laser scanning, close-range photogrammetry and hybrid 3D models · 🧊 3D viewer |
| Web GIS & Cartographic Visualization | Interactive web maps, 3D terrain, eye-tracking usability study · 🌐 Live demo |
| Computational Photogrammetry & Computer Vision | Camera calibration (DLT), rectification and homography in Python |
Remote sensing: Google Earth Engine · Sentinel-1/2 · Landsat · ENVI · ESA SNAP · eCognition · hyperspectral imaging
Machine learning: Python · PyTorch · scikit-learn · OpenCV · NumPy · Pandas
GIS & 3D: QGIS · ArcGIS Pro · Agisoft Metashape · CloudCompare · MeshLab

