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Agathi Bantisouli agathiba

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Remote Sensing & Earth Observation · Deep Learning for satellite imagery · Research Assistant @ FORTH RSLab
  • Thessaloniki, Greece
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agathiba/README.md

Hi, I'm Agathi 👋

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


🌐 Live demos

3D statue reconstruction 3D map of Santorini
Rotating 3D model of the statue Orbit around the 3D map of Santorini
Laser scanning + photogrammetry, interactive in the browser QGIS + Qgis2threejs WebGL terrain and bathymetry

🎓 Master's thesis

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.

📂 Selected projects

Project What it shows
Storm Daniel Flood Mapping & Impact Analysis Sentinel-1 SAR change detection, EMS validation (F1: 0.77), recession dynamics & crop damage assessment in Thessaly
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

🛠️ Tools

Remote sensing: Google Earth Engine · Sentinel-1 (SAR) · Sentinel-2 · Landsat · Copernicus EMS · ENVI · ESA SNAP · eCognition · Hyperspectral imaging

Data science & Geospatial Python: Python · PyTorch · scikit-learn · OpenCV · GeoPandas · Rasterio · NumPy · Pandas

GIS & 3D: QGIS · ArcGIS Pro · Agisoft Metashape · CloudCompare · MeshLab

📫 Contact

LinkedIn · [email protected]

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  1. satellite-lulc-deep-learning-eurosat satellite-lulc-deep-learning-eurosat Public

    Benchmarking Deep Learning models (ResNet-50, EfficientNet-B0, Swin Transformer) for Land Use/Land Cover classification on Sentinel-2 satellite imagery (EuroSAT).

    Jupyter Notebook

  2. multispectral-analysis-worldview-sentinel2 multispectral-analysis-worldview-sentinel2 Public

    Comparative multispectral indices, Pan-sharpening (Gram-Schmidt), and LULC classification (SVM, Random Forest, OBIA) using WorldView and Sentinel-2 data.

  3. gis-spatial-analysis-cartography-portfolio gis-spatial-analysis-cartography-portfolio Public

    Applied GIS, Spatial Modeling & Multi-Criteria Analysis (ArcGIS & QGIS)

    Python

  4. 3d-reconstruction-tls-photogrammetry 3d-reconstruction-tls-photogrammetry Public

    3D surface reconstruction and multi-sensor fusion: Terrestrial Laser Scanning (TLS) vs. Close-Range Photogrammetry.

  5. web-gis-cartographic-visualization-usability web-gis-cartographic-visualization-usability Public

    Interactive Web GIS, 3D WebGL terrain/bathymetry visualization, spatiotemporal mapping, and cartographic UX eye-tracking usability evaluation.

    Python 1

  6. advanced-spatial-analysis-surface-modeling advanced-spatial-analysis-surface-modeling Public

    Advanced spatial analysis in ArcGIS: John Snow cholera clustering (KDE & Thiessen), viewshed visibility modeling, DEM interpolation comparisons, and automated ModelBuilder workflows.

    Python

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