SAR Scenes for Machine Learning
We offer our customers a service that provides SAOCOM data from hundreds or thousands of scenes in order to train machine learning models. This service allows to freely choose the targets and to balance the number of scenes desired for each target with respect to the number of temporal samples on each target.
- Service that provides SAOCOM information to train Machine Learning models
- Offers hundreds or thousands of satellite scenes
- Allows to choose targets and to balance the number of scenes per target and time samples
- Very low price per scene
Uses
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- Training Machine Learning models in satellite Earth observation
- Combine information with other satellites
Examples of use
- Scene packages of airports, dams, nuclear power plants, mines, oil wells, ports, cities, forests, etc.
- Example: 12 scenes per airport distributed over time (one per month).
Governments
Monitoring and analysis of strategic territories
Companies
Bi-weekly monitoring/monitoring of operating areas
Features
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Unique service with SAR information in L-Band
Model training
Urban areas (airports, critical infrastructures, highways) and vegetation areas (forests, jungles, etc.).
Soil moisture analysis
Irrigation, fire risk, biomass, etc.
