Satellite and weather data for precise grassland management
SatGrass is an implementation project that transforms satellite- and weather-based models for estimating yield and forage quality of Austrian grasslands into an operational system. The goal is to provide an application for farmers, agricultural institutions, and researchers that delivers reliable, near real-time information.
The system is based on geospatial grassland data, current and forecasted weather data, and Sentinel-1 and Sentinel-2 satellite imagery. A scalable backend infrastructure with a relational database enables efficient processing and storage of this information. Machine learning models calculate daily dry matter yield and crude protein content, taking into account vegetation onset and cutting dates.
Results are stored as time series for each plot as well as aggregated for regions and years. Standard interfaces ensure that both internal and external users can access the data in a consistent way. SatGrass supports more precise grassland management, provides objective statistical foundations, and contributes to climate adaptation in agriculture.
Our tasks
- Setting up the backend infrastructure and database
- Integration and processing of regional, area, weather and satellite data
- Implementation of yield and quality models
- Automated daily calculations and forecasts
- Provision of data via standard interfaces