Imagine What a Billion Pixels Can Do

At planetary scale, every pixel is a signal. By processing billions of pixels from multi-satellite, multi-spectral feeds, we help organizations turn earth observation (EO) data into field-level insights delivered daily, anywhere on the globe.

Context

Farms and land managers need reliable measures of vegetation health, soil moisture proxies, weather impacts, and land-use change. Data comes from heterogeneous sources (e.g., Sentinel, Landsat, commercial) with different bands, resolutions, cloud cover, and revisit cycles.

Approach

• Preprocessing pipeline. Tiling, atmospheric correction, cloud/shadow masking, co-registration, and gap-fill to unify inputs.
• Features + models. Vegetation indices (NDVI/EVI/SAVI), time-series features, semantic segmentation and change-detection models.
• Serving. Daily product updates via a global data cube with simple APIs and dashboards for agronomy and ops teams.
• Cost control. Spot instances, caching, and tiered storage to optimize petabyte-scale processing costs.

Impact

• Accuracy. Field-health classification exceeding 90% on benchmark parcels; robust to cloud gaps via temporal modeling.
• Velocity. Daily global refresh for priority layers; hours -> minutes latency for new acquisitions.
• Cost. Reduced monthly cloud spend by ~50% through smarter scheduling and storage tiers.