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@eo4geocourses @PLUS-Seasy @ESAOpenSR

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simon-donike/README.md

Hi there, I'm Simon, a PhD Researcher in Artificial Intelligence for Remote Sensing at the University of Valencia 👋

🔬 Research Focus

  • 🧠 Generative AI for EO – Latent & pixel-space diffusion models, ControlNet-style conditioning, GAN-based band synthesis (NIR-GAN)
  • 📊 Benchmarking & Evaluation – OpenSR-Test metrics suite, Wald-protocol-based validation for Sentinel-2 SR
  • 🌍 Applications – Flood/fire mapping, building segmentation, road surface change detection

🛠 Tech Stack

  • 🐍 Python: PyTorch, PyTorch Lightning, scikit-learn, OpenCV, PIL, HuggingFace Diffusers
  • 🧠 Deep Learning: Diffusion models, VAEs/Autoencoders, UNets, GANs, multi-modal conditioning, Segmentation and Instance/Object Detection
  • 🗺 Geospatial Tools: xarray, STAC, GDAL, rasterio, shapely, QGIS, Google Earth Engine
  • 📈 MLOps & Tracking: Weights & Biases, dataset versioning & reproducibility workflows
  • 📦 Packaging & DevOps: setuptools, GitHub Actions, Docker, CI/CD pipelines, pytest
  • ⚡ High-Performance Computing: SSH/remote training, Multi-GPU training and inference, Slurm orchestration, remote HPC cluster management

Pinned Loading

  1. ESAOpenSR/opensr-model ESAOpenSR/opensr-model Public

    Implementation of Latent Diffusion Super-Resolution model for RGB-NIR Sen2 imagery.

    Python 117 23

  2. ESAOpenSR/SEN2SR ESAOpenSR/SEN2SR Public

    A Python package to super-resolve Sentinel-2 satellite imagery up to 2.5 meters.

    Python 107 10

  3. NIR-GAN NIR-GAN Public

    Generate a synthetic NIR Band, based on RGB Satellite Imagery.

    Python 11 1

  4. ESAOpenSR/SRGAN ESAOpenSR/SRGAN Public

    Flexible implementation of different SR-GANs for Remote Sensing.

    Python 43 5