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Digdgeo/README.md

Diego García Díaz 🌍

👨‍💻 Geospatial Data Scientist | 📦 Python Developer | 🛰️ Remote Sensing & GIS Specialist


🏢 Current Position


📚 Education


🌐 Online Presence

  • LAST Blog: Check out our blog for updates on our projects and research.
  • Personal Website: Coming soon! A space dedicated to Python and Remote Sensing.

🛠️ Skills & Expertise

  • Programming: Python, GIS, Remote Sensing, Databases
  • Interests: Exploring flood dynamics through remote sensing. Also interested in phenology, coastal geomorphology, and data visualization.
  • Beyond Work: Poor level surfer, taska mountain biker, and a --forever-- beginner climber.

🐍 Python Packages

Package Description
NDVI2GIF Generate seasonal remote sensing index composites.
PyVPP Download, mosaic, and crop HRVPP data from WEkEO.
GeeLTERMap Visualize environmental data for eLTER sites using Google Earth Engine and Geemap.
netops-cadiz Convert spectroradiometry field data to theoretical satellite responses.

📡 Current Projects

  • Landsat Protocol v2: Right now finishing the update to Collection 2 Level 2. Not finished yet because there are lots of new functionalities 🤓

🌱 Learning & Collaboration

  • Learning: Always expanding my knowledge in geospatial technologies and data science. And nowadays, also learning to climb and trying to survive.
  • Collaboration: Open to collaborating on anything that involves pixels.
  • Seeking Help: Hydroperiod and improving water and cloud masks is always a thing...

💬 Ask Me About

  • Remote Sensing 🌍
  • Python Programming 🐍
  • GIS and Spatial Analysis 🗺️
  • Life and Sadness (yes, really) 😔

📫 How to Reach Me


Note: This README is a work in progress. Stay tuned for updates! 🚀

Pinned Loading

  1. Ndvi2Gif Ndvi2Gif Public

    Library to create Multi Seasonal remote sensing indexes composites

    Jupyter Notebook 31 11

  2. PyVPP PyVPP Public

    Python class to download the Pan European High Resolution Vegetation Phenology and Productivity

    Python 6 1

  3. AEPython AEPython Public

    Repositorio para el contenido del curso de Análisis Espacial con Python

    Jupyter Notebook 2

  4. GEE_Course_2023 GEE_Course_2023 Public

    Jupyter Notebook 4 2