Bordeaux Remote Imaging CubeSat
Project Overview
Satellite imagery has become increasingly accessible to wine regions around the world, offering unprecedented opportunities to monitor and respond to changing environmental conditions. Sun-synchronous orbit satellites provide consistent imagery of vineyards with uniform lighting conditions, making them ideal for agricultural monitoring.
For Bordeaux's wine industry, access to regular satellite data enables precise monitoring of vineyard health, soil moisture levels, disease spread, and the impacts of changing climate patterns. This information allows winegrowers to implement targeted interventions, optimize resource usage, and adapt their cultivation practices to evolving conditions.
Through this visualization platform, we demonstrate how wine regions can leverage existing satellite infrastructure and data to enhance decision-making, improve resilience to climate challenges, and preserve the unique terroir that defines Bordeaux's prestigious wines.
Key Features
- •Real-time orbit visualization
- •TLE data processing and visualization
- •Ground station tracking for vineyards
- •Pass prediction for monitoring
- •Progressive Web App for offline use
Project Details
The BordeauxSat project is a fork of the satvis repository, which provides tools for satellite orbit visualization and pass prediction. This project includes features such as calculating satellite positions and orbits from Two-Line Element (TLE) data, setting ground stations via geolocation or map selection, and determining satellite passes for specified ground stations. Additionally, it offers local browser notifications for upcoming passes and operates as a Progressive Web App (PWA), enabling offline functionality. The project is built using technologies like CesiumJS, Satellite.js, Vue.js, and Workbox, and is licensed under the MIT License.
Interactive Visualization
Explore the BordeauxSat orbit visualization in two different modes. Select a view below to load the interactive demo.
Features & Technologies
Real-Time Orbit Visualization
Calculate and visualize satellite positions and orbits from Two-Line Element (TLE) data with accurate physics-based modeling for precise tracking.
Ground Station Tracking
Set ground stations via geolocation or map selection for precise vineyard monitoring with customizable tracking parameters.
Pass Prediction
Determine satellite passes for specified ground stations and receive notifications for upcoming monitoring opportunities over Bordeaux vineyards.
Offline Functionality
Progressive Web App (PWA) enabling offline functionality for field use in vineyards when internet connectivity is limited or unavailable.