EUREL

💎 Idea

Our hackathon idea revolves around developing an advanced solution to predict and mitigate critical water level changes on major European rivers like the Rhine, which serve as essential arteries for inland water transportation. These changes, which can lead to drought conditions, pose a significant risk to transportation by limiting navigability. Leveraging geospatial data, artificial intelligence, and predictive analytics, our platform provides tailored insights to optimize supply chain management, avoid transportation delays, and minimize operational costs for companies dependent on waterway logistics.

We calculate and monitor forecasted water levels, analyzing potential blockages or disruptions along key routes. If a particular route becomes impassable due to low water levels or unexpected conditions, our system identifies and recommends alternative routes to maintain the flow of goods. Our solution incorporates a robust business intelligence dashboard, giving companies a clear overview of potential risks, alerts, and actionable insights.

🛰️ We're using advanced EU space technology to monitor river levels and predict future changes.

GitHub

We've trained a computer (AI) to predict future water levels using historical data ([1] and [2]) from rivers. We're also analyzing satellite images [3] to measure the weight of the water in rivers. By comparing this weight to known water levels, we can estimate the current depth of the river at any point.

To do this, we're using images from Sentinel-2 satellites and processing them to highlight water bodies. We then measure the distance between the water's edge and the riverbank on these images.

Data what we are using:

- [1] River Water Level 2002-present (vector), global, Near Real Time – version 2

- [2] Water Level Rivers 2002-present (vector), global, per overpass - version 2

- [3] Normalized Difference Water Index Sentinel-2 images

These are Copernicus data([1], [2])  that we used for predicting the water level of river. The prediction of water level is which we want to use in our product, and it's the main factor of our solution.

Data what we collected to this project:

- [4] River Water Level Data in the EU

Scripts:

- [a] Using Sentinel satellite images

- [b] Measure distances on satellite images

- [c] Get the shoreline on satellite images

- [d] Prediction of the water level of river

    APIs, Frameworks and other software library:

• Marine Traffic AIS API
• Map box APIs
• ARIMA   
• Numpy 
• Pandas
• Flask and Flask-Weather
• ReactJs

  Unique device:

• KIM1 device of Kinéis - to get data from Satellite

    EU Space for Defence and Security

We have selected the 1st challenge: "Enhancing defence & security with geospatial intelligence"

Our solution focuses on predicting drought conditions using geospatial data, which plays a critical role in optimizing supply chains. By providing accurate and actionable insights, our approach enhances preparedness for potential security threats, ensures the timely allocation of resources, and mitigates risks associated with disruptions in critical supply lines.

This directly aligns with the core objectives of the challenge, as it leverages geospatial intelligence to support proactive decision-making in defence, humanitarian aid, and contingency planning, thereby contributing significantly to the EU Defence and Security ecosystem.

Summary of Project:

https://docs.google.com/document/d/11yUsx4hTVpKWU3qNBeu9b4j_6Kjrt4exxpZWqo0d-EQ/edit?usp=sharing

Video representing the prototype:

PPT:

https://docs.google.com/presentation/d/1aGESTIGzU5F_EsbSPGZOlSQqOKeQwlcX-2tamzamAss/edit?usp=sharing

Team coordinator:  

Name: Yhair Sifuentes

Email: [email protected]

phone number:+36205739113

🤼 Team

• Yhair Sifuentes 🇵🇪  - Business Analyst
  • BA at Obuda University
• Yuto Yamamoto 🇯🇵 - AI Engineer
  • BSc at Obuda University
• Tishko Sabir 🇹🇯 - Backend Developer
  • BSc at Obuda
• Miklós Kozlovszky 🇭🇺 - Electronic Engineer (IoT specialists)
  • Professor at Obuda University
  • +30 years working experience in IT sector
• Sándor Burian 🇭🇺 - Geospatial Engineer
  • Researcher at Óbuda University
• Turbadrakh Galbadrakh 🇲🇳 - UX/UI Designer
  • BSc at Obuda
• Khishigbadrakh Enkhtur 🇲🇳 - Frontend Developer 
  • MSe at Obuda
  • +2 years working experience as developer

🦊 Gitlab Repository

https://gitlab.com/practice7525147/cassine