Visualizing the Power of Nature in Real-Time
EONET-VISUAL is a dynamic and cutting-edge web dashboard built with Python that visualizes real-time natural events around the globe. This project taps into NASA’s Earth Observatory Natural Event Tracker API and presents it with stunning interactive maps powered by Streamlit and Folium. With this tool, you can monitor wildfires, earthquakes, hurricanes, volcanic eruptions, and much more— all in real-time!
- 🌋 Monitor volcanic eruptions, wildfires, earthquakes, and hurricanes in real-time.
- 🔍 Dive into the data provided by NASA's Earth Observatory Natural Event Tracker API.
- 🌐 Explore geographical data in an aesthetically engaging and easy-to-navigate way.
- 📊 Visualize events on beautifully crafted interactive maps.
- 🖥️ Seamlessly interact with your data through a user-friendly interface.
- 🚀 Effortlessly navigate between the events and their insights.
- 📉 Analyze and uncover important patterns from natural events globally.
- 🧠 Gain deeper insights into Earth’s dynamic processes and phenomena.
- Python: Core programming language for backend logic.
- Streamlit: For building interactive and sleek web applications.
- Folium: Powerful library for creating interactive maps.
- NASA Earth Observatory Natural Event Tracker API: Provides the real-time data on global natural events.
See how dynamic Earth’s natural events can look with live data!
Explore detailed visualizations of natural events globally.
Earth Observatory Natural Event Tracker is more than just a cool project— it's a tool to understand the planet’s ongoing changes.
- 🌍 Global Awareness: Stay updated with real-time data about wildfires, earthquakes, hurricanes, and more.
- 🧑🏫 Educational Value: Perfect for educators, researchers, or anyone interested in Earth sciences.
- 🌱 Environmental Responsibility: Encourages awareness and promotes better responses to natural events.
- Advanced Analytics: Integrating machine learning models to predict future events.
- Alert System: Real-time notifications for significant natural events.
- Integration with Global Tools: Enhancing the platform with more global environmental data sources.
We welcome contributions! If you want to help out, here’s how you can get started:
- Fork this repository.
- Clone your fork to your local machine.
- Create a new branch for your feature or fix.
- Commit your changes.
- Submit a pull request for review.
Let’s make Earth’s natural events even more accessible to everyone!
This project is licensed under the MIT License. For more details, check the LICENSE file.
To begin using EONET-VISUAL, you’ll need to clone this repository and install the dependencies listed in requirements.txt. Here's how you can get started:
# Clone the repository
git clone https://github.com/RayanGAtech/Earth-Observatory-Natural-Event-Tracker.git
# Navigate to the project directory
cd Earth-Observatory-Natural-Event-Tracker
# Install the dependencies
pip install -r requirements.txt
# Run the app
streamlit run eonat_dashboard.pyEnjoy exploring Earth’s dynamic canvas of natural events!