Landsat Pulse is a web application that simplifies access to real-time Landsat satellite data, enabling users to monitor environmental changes and receive notifications for satellite passes and new data availability without needing technical expertise.

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What Exactly Does It Do?

1. Target Area creation:

Users can define their target location through multiple methods:
- Interactive map selection (placing a pin)
- Entering latitude and longitude coordinates
- Searching for a place name
Save the geojson data on database. Load the geojson data and analyze the data of that area.

2. Live LandSat tracking:

Tracking Landsat8 and Landsat9 through TLE data.
Also display cycle and paths for different days.
Visualize those tracking data in 3D and 2D view.

3D View:

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2D View:

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3. Real-Time Overpass Notifications:

The application sends alerts to users about upcoming Landsat satellite overpasses at their specified locations.
Users can customize notification lead times (e.g., 1 hour, 1 day) and choose notification channels (SMS, email, Slack).
Set webhook to activate IOT devices, and trigger through notification.

4. Data Visualization:

3x3 Pixel Grid: Users can view a grid of Landsat pixels centered on their selected location, enabling easy comparison of surface reflectance data.
Extract different bands of data from the imported geojson.
Visualize block by path and row (WRS-2).
Time-lapse Analysis: The application supports time-lapse visualizations of environmental changes, helping users track trends over time.
Environmental Trends: Users can analyze changes like deforestation, flooding, or urban development using overlays such as NDVI and false-color imagery.

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6. Integration of RAG Technology:

Users can generate contextual insights by leveraging GPT-powered Retrieval-Augmented Generation technology, which pulls relevant external data and historical reports for deeper analysis.

7. Access to Surface Reflectance Data:

Users can access detailed Surface Reflectance data, including surface temperature and various spectral bands.
The app provides metadata for each Landsat scene, including acquisition date, time, satellite, cloud cover percentage, and image quality.

8. Data Export, Comparison and Sharing:

Users can analyze ground data with Landsat-acquired data for validation.
Users can download data in formats like CSV for further analysis or share insights directly from the app via social media or email.

9. Mobile App:

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How Does It Work?

1. User Interface:

The front end is built using NEXT.JS to create a dynamic, user-friendly interface. Users interact with the map, enter location details, and receive notifications through intuitive forms and menus.

2. Backend Processing:

The backend is developed using Node.js and Python Flask, managing API requests to retrieve Landsat data, calculate overpass timings, and send notifications.

3. Data Retrieval:

The application integrates with the USGS Landsat APIs to access Surface Reflectance data and scene metadata. Algorithms compute the timing of satellite overpasses based on orbital mechanics.

4. Real-Time Notifications:

A notification service (e.g., Firebase for SMS or SendGrid for emails) is employed to ensure users receive timely alerts regarding satellite passes.

5. Data Visualization:

Mapping libraries like Leaflet are used to display spatial data, including pixel grids and satellite paths, on the interactive map.

Benefits of Landsat Pulse

Accessibility: Simplifies access to complex satellite data for users without technical expertise.
Timely Alerts: Empowers users to respond quickly to environmental changes with real-time notifications.
Enhanced Understanding: Provides visualizations and analytical tools that help users understand environmental trends and patterns.
Educational Resource: Serves as a valuable tool for educators and students, facilitating learning about remote sensing and environmental science.
Community Engagement: Encourages citizen science and community participation in environmental monitoring and decision-making.

What Do You Hope to Achieve?

Increased Awareness: Promote awareness of environmental changes and challenges among diverse user groups.
Empowerment: Equip users with the tools needed to monitor their local environments and take proactive measures against threats.
Collaboration: Foster collaboration between scientists, policymakers, and citizens to address environmental issues effectively.
Sustainability: Support sustainability efforts worldwide by providing data that informs land management and conservation practices.

Tools and Technologies Used

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1. Coding Languages:

Frontend: NextJs and Tailwind CSS.
Backend: JavaScript (Node.js) and Python (Flask).

2. APIs and Libraries:

USGS Landsat API for data retrieval.
Leaflet for mapping and visualization.
Firebase for notification services.

3. Database:

PostgreSQL for storing user preferences, location data, and historical queries.

4. Development Tools:

Git for version control.
Docker
Visual Studio Code or another IDE for development.

5. Hosting and Deployment:

Cloud platforms like AWS-RDS , EC2 instance for hosting the application.

Conclusion

Landsat Pulse is a transformative tool that democratizes access to satellite data, enabling users to engage with and respond to environmental changes actively. By leveraging advanced technologies and providing user-friendly interfaces, we aim to create a global platform for real-time environmental monitoring, fostering collaboration and supporting sustainability efforts worldwide. To know more, check out our detailed video here.

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