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Тоҷикӣ
КыргызчаAI-Enhanced Satellite Imagery
Object detection, segmentation, change/anomaly identification, vegetation indices, and terrain analysis are all possible with AI applied to satellite imagery.
Detection Segmentation Change Anomaly NDVI
Clouds? Masks/Compositions
Changes? Temporary bands.
Coordinates? CRS/projections.
Detection of Construction/Roads/Ships
Monitoring changes in forests, water bodies, and ice sheets; assessing degradation.
Risk assessment for floods, fires, and landslides.
Frequently asked questions
What integrations are possible with GIS/analytics/alerts?
Integrations with GIS systems, analytics platforms, and alert mechanisms can streamline workflows and provide real-time insights.
Should we use optical or SAR imagery? Combining them is key: optical for daytime visuals, SAR through clouds/at night.
Optical sensors are ideal for capturing detailed visual information during daylight hours, while Synthetic Aperture Radar (SAR) can penetrate cloud cover and operate effectively at night.
How do we handle cloudy conditions? Masks, time series?
To address cloudy conditions, techniques like masking specific areas, utilizing time series analysis of imagery, and SAR-based image substitution can be employed.
How do we scale our processing? Tiles/streams, server inference, caching?
Scaling AI-powered satellite imagery processing involves using tile-based approaches for efficient data management, deploying streaming solutions for real-time analysis, and leveraging server inference and caching techniques to optimize performance.
▶ Try it live
Everything above runs in your browser — open 80k Particles Spiral Galaxy Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.