Project Name: Sentinel Synergy
Project Overview:
Sentinel Synergy is an ambitious project that sits at the crossroads of Earth Observation (EO) and Artificial Intelligence (AI). Our mission is to harness the vast streams of data provided by the Sentinel satellite constellation and apply cutting-edge AI algorithms to address global environmental challenges. The project focuses on three core areas: climate change, sustainable agriculture, and disaster response.
Objectives:
- To develop AI models that can predict climate change patterns with unprecedented accuracy by analyzing Sentinel's high-resolution multi-spectral imagery.
- To implement AI-driven precision agriculture tools that optimize crop yields, reduce waste, and minimize environmental impact.
- To deploy real-time disaster monitoring and response systems that utilize AI to analyze and interpret EO data for rapid deployment of aid.
Innovations:
- ClimateAI: A predictive model using machine learning to analyze seasonal changes and long-term climate trends, assisting policymakers in strategic planning.
- AgroVision: A smart farming platform that leverages satellite imagery and AI to provide insights on soil health, plant growth, and water usage.
- CrisisMapper: An AI system that integrates real-time satellite data with social media feeds to map disaster impacts and coordinate rescue efforts.
Technology Stack:
- EO Data: Sentinel-1, Sentinel-2, and Sentinel-5P satellite imagery.
- AI: Deep learning networks, including CNNs for image analysis and RNNs for time series forecasting.
- Cloud Computing: Scalable cloud infrastructure to process and analyze petabytes of EO data.
- IoT Integration: Linking on-the-ground sensor data with satellite observations for enhanced decision-making.