Classical and quantum machine-learning framework for detecting and mapping natural hydrogen prospectivity in Kazakhstan using Sentinel-2 satellite imagery.
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Apr 19, 2026 - Python
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sentinel-2-data
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We are using Sentinel-2 satellite imagery and a specialized U-Net deep learning model to detect changes in landscapes before and after flood events. Using the OMBRIA dataset, the model reliably identifies flooded areas to support disaster management and response efforts.
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Jan 21, 2025 - Jupyter Notebook
GRASS addon to download Sentinel-2 scenes by S2 scene ID using eodag.
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Apr 15, 2026 - Python
Data analysis and object detection to assess Hurricane Maria's impact using NDVI analysis and YOLO modeling for disaster relief planning.
python machine-learning data-visualization object-detection geospatial-analysis hurricane-maria yolo-model ndvi-analysis disaster-impact-assessment sentinel-2-data
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Dec 6, 2024 - Jupyter Notebook
Extension to read from Earth Observation data archives
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Apr 20, 2026 - Python
An analysis of seasonal NDVI changes using the imagery from Sentinel-2 mission. Includes plots and stats for insights into vegetation health.
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Jan 26, 2025 - Python
Multimodal Accessibility and Place Profiling Engine for arbitrary Regions
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Mar 6, 2026 - Python
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