From Pixels to Insights: Python for Satellite Images

About From Pixels to Insights: Python for Satellite Images

Join our hands-on workshop and dive into the world of geospatial data analysis. This hands-on session is designed for beginners and those with basic programming skills who want to harness the capabilities of Python to work with satellite imagery.

Through practical coding exercises, you’ll gain firsthand experience in processing, analyzing, and visualizing Earth observation data. With expert guidance and tailored support, you’ll build a solid foundation in Python while exploring real-world applications of remote sensing.

By the end of this workshop, you’ll be equipped with the skills to manipulate satellite images, extract meaningful insights, and create compelling visualizations—opening doors to new opportunities in geospatial technology.

Workshop Level: Entry Level
Workshop Language: English
Workshop Requirement: Gmail Account

Highlights

  1. The Power of Python: Discover the capabilities of Python, its importance to the tech industry, and how mastering it opens doors to career opportunities.
  2. Python Essentials: Build a strong programming foundation as we guide you through Python’s core concepts, variables, data types, and key operations with clear, practical examples.
  3. Understanding Satellite Imagery: Understand satellite data as we break down its components, including spectral bands, resolution types, and file formats, setting the stage for hands-on analysis.
  4. Processing Satellite Data with Python: Put theory into practice by loading, manipulating, and visualizing real satellite imagery using Python libraries.
  5. Analyzing Vegetation Health: Unlock environmental insights as you process satellite data to generate vegetation health maps—a crucial skill for agriculture, forestry, and climate studies.
  6. Interactive Learning: Immerse yourself in an interactive coding session where you’ll apply new skills in real time with expert guidance.
*This workshop is a paid event (375 AED VAT incl.)
Registration Deadline: 16th of June 2025
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