Arctic Climate Sentinel v2.0
A high-performance geospatial infrastructure designed to ingest, process, and visualize petabyte-scale satellite imagery across the Arctic basin in real time.
The Challenge
The client's legacy GIS infrastructure struggled with the exponential growth of high-resolution SAR and optical satellite feeds. Latency in layer rendering exceeded 4 seconds, cross-agency data sharing required manual exports, and the single-node architecture couldn't handle peak ingestion loads during storm events.
They needed a scalable, secure, and automated pipeline capable of processing multi-spectral data while maintaining strict OGC compliance and role-based access for 40+ research institutions.
Our Solution
We architected a distributed GeoServer cluster backed by PostgreSQL/PostGIS, with Redis-powered tile caching and automated ingestion pipelines using Python/GeoPandas. WFS-T and secure REST APIs enabled real-time feature updates across tenant boundaries.
Containerized deployments on Kubernetes ensured elastic scaling during data surges, while custom MapLibre GL JS viewers provided sub-second layer toggling and dynamic styling based on environmental thresholds.