EONET VISUAL is a cutting-edge web dashboard that visualizes natural events across the globe, offering an immersive experience of Earth's dynamic nature. Powered by Python, Streamlit, and Folium, this project converts raw data into visually stunning interactive maps and insights.
- Mapping Nature's Symphony: Explore real-time natural events like wildfires, earthquakes, hurricanes, and volcanic eruptions with data from NASA’s Earth Observatory Natural Event Tracker API.
- Aesthetic Mastery with Folium: Leverage Folium for creating interactive and visually appealing maps that display geographical data in an engaging way.
- Streamlit's Intuitive Interface: Navigate through the dashboard effortlessly using Streamlit’s user-friendly interface, designed for seamless interaction with the data.
- Data-Driven Insights: Analyze and uncover patterns from natural events to gain deeper insights into Earth’s dynamic processes.
- Python: Core language for custom tasks and data handling.
- Streamlit: For building interactive web applications with an intuitive UI.
- Folium: A powerful library for generating interactive maps.
- NASA Earth Observatory Natural Event Tracker API (Version 3.0): Provides the data for natural events globally.
- Monitoring Natural Events: Real-time visualization of natural events happening around the world.
- Educational Tool: A powerful tool for educators and researchers to explore natural phenomena and their global impact.
- Global Awareness and Responsibility: Helps users understand the dynamics of natural events, fostering awareness and a sense of environmental responsibility.
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Integration with Global Monitoring Tools: Extend the platform's capabilities by integrating with other global environmental monitoring tools.
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Advanced Analytics: Incorporate advanced analytics features to analyze and visualize trends in natural events.
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Notification Alerts: Implement alerts for users to be notified of significant natural events in real-time.
Contributions are welcome! To get started:
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Fork this repository.
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Create a new branch for your feature or bug fix.
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Submit a pull request for review.
This project is licensed under the MIT License. See the LICENSE file for details.