/eonetst

Built using EONE and folium>.. More and more NASA imagery is being made available via web services (WMS, WMTS, etc.) and a significant percentage produced and published in near real-time (NRT = within a few hours after the acquisition). This ability means that NASA imagery can be used more routinely to examine current natural events as they happen.

Primary LanguagePythonMIT LicenseMIT

EONET VISUAL: Unveiling Earth's Dynamic Canvas
Embark on a mesmerizing journey with EONET VISUAL, a cutting-edge web dashboard that unveils the tapestry of natural events occurring across our planet. Crafted using Python, Streamlit, and Folium, this visionary project transforms raw data into an immersive visual experience that transcends the boundaries of ordinary mapping.

🌎 Mapping Nature's Symphony: Witness the Earth's pulse in real-time as EONET VISUAL taps into the formidable NASA Earth Observatory Natural Event Tracker API (Version 3.0). From wildfires and earthquakes to hurricanes and volcanic eruptions, every heartbeat of our dynamic planet is elegantly displayed on an interactive map.

🎨 Aesthetic Mastery with Folium: Elevate your visualization experience with Folium, a powerful Python library. The combination of Folium and EONET VISUAL transforms geographical data into a stunning tapestry of colors and shapes, creating a visual narrative that captivates and educates.

🚀 Streamlit's Intuitive Interface: Navigate the cosmos of natural events effortlessly through Streamlit's user-friendly interface. Tailored controls empower users to dynamically shape their viewing experience, providing an unparalleled level of engagement with the data.

🔍 Data-Driven Insights: Uncover patterns, correlations, and insights as you delve into the details of each natural event. EONET VISUAL doesn't just showcase data; it empowers users to become stewards of Earth's ever-changing landscapes.

🌐 Global Awareness, Local Impact: Beyond being a visual spectacle, EONET VISUAL aims to cultivate a sense of global awareness and responsibility. By understanding and appreciating the dynamics of natural events, users can contribute to the collective efforts for a resilient and sustainable future.

🛠️ Seamless Setup: With a streamlined setup process, EONET VISUAL invites users to immerse themselves in the wonders of our planet effortlessly. Activate the Python virtual environment, install dependencies, and launch the application – within moments, you're connected to Earth's pulse.

🔗 Open Source Collaboration: Built on NASA's open-source API, EONET VISUAL encourages collaboration and innovation. Join a community of enthusiasts, developers, and Earth enthusiasts as we explore new ways to understand and appreciate the beauty and power of our planet.

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Install Code Requirements (pip install):

pip install -r to-requirements.txt

Run The Application:

streamlit run eonat_dashboard.py

Application now is running on port: 8080