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Digdgeo/README.md

Diego García Díaz 🌍

👨‍💻 Geospatial Data Scientist | 🐍 Python Enthusiast | 🚀 Remote Sensing & GIS Specialist


🏢 Current Position


📚 Education

  • MSc in Urban Planning and Local Management
  • BS in Geographic Information Systems (GIS)
  • Degree in Geography

CSIC Logo UNIA Logo US Logo


🌐 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
  • Python Packages: NDVI2GIF (Seasonal Index Composites), PyVPP (Download Wekeo Data), GeeLTERMap (Map enviroment and data for eLTER sites), netops-cadiz (Spectroradiometry data to satellite theoretical response)
  • Interests: Playing with pixels looking for flood and related things. Also Phenology, Geomorphology and Datavis. More over, I am a terrible surfer and Mountain Biker.

📡 Current Projects

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

🌱 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 whatever that implies 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 27 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