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This repo showcases the utilization of earth observation (EO) imagery to analyze the state of the Euphrates river across 4 decades. The project is part of the AI4Earth challenge organized by the Space Hubs Network and the European Space Agency (ESA). The analysis included acquiring EO imagery through Sentinel Hub and calculating a group of remotes sensing indices to summarize the development of the Hindiya Barrage segment of the Euphrates basin.

License: MIT License

Jupyter Notebook 99.97% Python 0.03%

dyingrivers-esa's Introduction

Hi there 👋

🔭 I’m Kamal Elsayed, Linkedin.
⚡ I'm a data professional with a strong foundation in statistics, image analysis and computer vision.
⚡ I come with a rich career in solution engineering for data analytics, internet of things (IIoT) and AR/VR in the oil & gas and manufacturing.
👯 I’m looking to collaborate on projects in the domain of Geospatial data, Agritech, Healthcare and Water.
🌱 I finished my Masters of Science in Data Science from Tilburg university (TiU) in the Netherlands.
💬 Reach me via [email protected] or find me through Linkedin https://www.linkedin.com/in/kamaleldin/

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