Applications
Agriculture
China Siwei leverages cutting-edge satellite remote sensing and AI technologies to revolutionize agricultural management. Our solutions provide comprehensive monitoring across the entire farming cycle, ensuring precision agriculture and sustainable resource management.
Use Cases
- China’s Wheat Belt: Monitoring crop health and predicting yield across vast agricultural regions using multi-temporal satellite imagery and AI models.
- Soil Moisture Monitoring in Henan Province: Enhancing irrigation efficiency through real-time soil moisture data, leading to improved crop yields.
Crop Monitoring & Yield Estimation
Multi-source satellite data enables real-time monitoring of crop growth, health, and maturity. Spectral analysis is used to estimate biomass, monitor soil moisture, and assess crop yield with up to 85% accuracy at the county level.
AI-powered growth management: Detect and analyze non-grain land changes, and classify crop types with accuracy exceeding 90%.
Soil and Fertility Monitoring
Remote sensing for soil moisture and fertility monitoring provides accurate data on soil health, supporting effective irrigation and fertilization strategies.
Pest and Disease Management
AI-driven models detect and classify agricultural risks, enabling timely interventions and reducing crop loss. The accuracy of these models can reach over 90% in specific scenarios.
Meteorological and Disaster Early Warning
Integrated satellite data for real-time weather monitoring and early warning systems help mitigate the impact of natural disasters on agriculture.
Disaster Management
China Siwei provides real-time, AI-powered disaster monitoring and response solutions using a constellation of high-resolution satellites. Our systems offer comprehensive coverage, enabling quick assessment and effective management of natural and man-made disasters
Use Cases
- Aswan Dam Monitoring in Egypt: Quarterly satellite-based deformation monitoring ensures the structural stability of one of the world’s largest dams.
- Venezuelan Landslide Response: Rapid satellite imaging enabled timely disaster assessment and response during major landslides in 2022.
Flood Monitoring and Response
Real-time flood risk mapping using AI and satellite data to predict flood zones, monitor water levels, and assist in disaster response. These solutions have been applied in various flood scenarios, including the Venezuela Flood Response, where China Siwei provided actionable insights within hours.
Forest Fire Detection and Monitoring
AI-based early warning systems for forest fires, including real-time fire detection, tracking, and damage assessment, using multi-source satellite data. Continuous monitoring allows minute-by-minute updates, reducing response times and limiting damage.
Earthquake and Infrastructure Monitoring
Satellite-based deformation monitoring of critical infrastructure like dams and bridges, identifying potential risks before they lead to disasters. This capability was effectively demonstrated in the monitoring of the Aswan Dam in Egypt.
Integrated Disaster Platforms
AI disaster platforms integrate satellite, aerial, and ground data, providing a comprehensive view of disaster scenarios for better decision-making.
