LABSAT - Interactive Web Application for GOES-16 Data Visualization

LABSAT is a web application developed by CEPAGRI (Center for Meteorological and Climatic Research Applied to Agriculture) to provide interactive visualization of meteorological and environmental data from the GOES-16 satellite. This application aims to facilitate access to high-resolution, real-time satellite data for researchers, professionals, and users in related fields.

Features

• Interactive Data Visualization: Visualize data through an intuitive web interface with features like data layer overlays and analysis tools.
• High Temporal Frequency: Access data updated every 10 minutes.
• High Spatial Resolution: Utilize high-resolution imagery for detailed analysis.
• Data Projection: Maintain the original image acquisition projection.

Technologies Used

• Frontend: HTML, CSS, JavaScript, Leaflet library, and additional plugins (Timedimension, Geocoder, Easybutton).
• Containers: Docker for isolation and scalability.
• Web Server: Nginx for hosting the web interface and tiles.

Installation

Prerequisites

• Docker
• Docker Compose

Steps

1. Clone the Repository

   git clone https://github.com/guimouraO1/leaflet-map

   cd labsat

2. Build and Start the Containers

   docker-compose up -d

Docker Compose Configuration

The docker-compose.yml file is configured to set up the necessary containers for the LABSAT application:

• Frontend Server: Hosts the web interface using Nginx.
• Image Processing: Processing is done by the code https://github.com/guimouraO1/goes2image
• Tile Hosting: Serves the image tiles using Nginx.

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes.

Acknowledgements

• Funding: This project is funded by the Fundação de **.
• Support: Thanks to UNICAMP for cloud servers and INPE (Instituto Nacional de Pesquisas Espaciais) for collaboration and assistance.

References

1. Kevin Micke. Every pixel of goes-17 imagery at your fingertips. Bulletin of the American Meteorological Society, 2018.
2. RAMMB Regional and Mesoscale Meteorology Branch. RGB Products - Quick Guides.
3. OSGeo Open Source Geospatial Foundation. Tile Map Service Specification, 1999.
4. DSAT - Instituto Nacional de Pesquisas Espaciais – INPE.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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For more information, visit the official website.