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Mnzeballos/README.md

Hi 👋, I'm Manuel Zeballos

I'm an Earth Observation Scientist with a background in biology and sustainability, specializing in data science for wildfire risk and environmental monitoring using Python, R, GIS software, and cloud-based processing.

  • 🛰️🔥🌲 I'm currently working on Hyperspectral Remote Sensing of wildfires

📫 Connect with me:

https://github.com/Mnzeballos https://linkedin.com/in/manuel-zeballos-419456249

Skill Highlights

Earth Observation: Wildfire Monitoring, Multispectral and Hyperspectral Data, Satellite Image Analysis, Synthetic Aperture Radar (SAR), Ecological Modeling.

Geospatial Development: Spatial Data Pipelines, Google Earth Engine, OpenEO, Zarr, GIS Analysis (QGIS, SNAP), Database Management.

Data Science & ML: Python (Rasterio, GDAL, GeoPandas, Xarray), PyTorch, TerraTorch, Scikit-learn, TensorFlow, Version Control (Git).

googleearthengine gdal python jupyter r quarto latex postgresql qgis geopandas pandas

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  1. Minimum-annual-snow-cover-fraction-from-Sentinel-2-via-OpenEO Minimum-annual-snow-cover-fraction-from-Sentinel-2-via-OpenEO Public

    Python module for computing the minimum annual snow-cover fraction on glaciers from Sentinel-2 imagery, using the OpenEO API and Copernicus Dataspace.

    Python

  2. prisma-s2-co-registration prisma-s2-co-registration Public

    Python module for Local co-registration of PRISMA hyperspectral imagery to Sentinel-2 reference data, powered by AROSICS. Based on De Luca et al. project

    Python