Next-Generation Satellite Imagery Analytics Platform
Discover new possibilities with hyperspectral satellite imagery, powered by distributed storage and spatio-temporal analytics
Next-Generation Satellite Imagery Analytics Platform
Discover new possibilities with hyperspectral satellite imagery, powered by distributed storage and spatio-temporal analytics
Key Features
Key Features
Key Feature 1
Distributed Storage for Large-Scale Satellite Imagery
A multidimensional array database architecture efficiently stores the high-dimensional structure of hyperspectral satellite imagery.
It supports high-throughput, distributed loading of petabyte-scale datasets and applies dynamic sharding with fully automated pipelines to keep the large-scale imagery repositories free of I/O bottlenecks.
Key Feature 1
Distributed Storage for Large-Scale Satellite Imagery
A multidimensional array database architecture efficiently stores the high-dimensional structure of hyperspectral satellite imagery.
It supports high-throughput, distributed loading of petabyte-scale datasets and applies dynamic sharding with fully automated pipelines to keep the large-scale imagery repositories free of I/O bottlenecks.
Key Feature 1
Distributed Storage for Large-Scale Satellite Imagery
A multidimensional array database architecture efficiently stores the high-dimensional structure of hyperspectral satellite imagery.
It supports high-throughput, distributed loading of petabyte-scale datasets and applies dynamic sharding with fully automated pipelines to keep the large-scale imagery repositories free of I/O bottlenecks.
Key Feature 2
Hybrid P2P Distributed Cluster
A hybrid cluster architecture that combines the reliability of a central server with the scalability of a peer-to-peer network enables resilient distributed operations of satellite imagery across hundreds of nodes.
Direct inter-node communication and automated failover ensure uninterrupted operation during node failures, delivering reliable real-time satellite imagery transmission and processing.
Key Feature 2
Hybrid P2P Distributed Cluster
A hybrid cluster architecture that combines the reliability of a central server with the scalability of a peer-to-peer network enables resilient distributed operations of satellite imagery across hundreds of nodes.
Direct inter-node communication and automated failover ensure uninterrupted operation during node failures, delivering reliable real-time satellite imagery transmission and processing.
Key Feature 2
Hybrid P2P Distributed Cluster
A hybrid cluster architecture that combines the reliability of a central server with the scalability of a peer-to-peer network enables resilient distributed operations of satellite imagery across hundreds of nodes.
Direct inter-node communication and automated failover ensure uninterrupted operation during node failures, delivering reliable real-time satellite imagery transmission and processing.
Key Feature 3
High-speed Spatiotemporal Search and Analytics
STAC-compliant metadata, multidimensional spatio-temporal indexing, and a high-performance OGC WCPS engine enable complex queries that combine time, space, and sensor parameters, while delivering ultra-fast spatiotemporal analytics on imagery.
Provides real-time analysis of large-scale imagery and data cataloging and search capabilities via RESTful APIs for easy integration with external systems.
Key Feature 3
High-speed Spatiotemporal Search and Analytics
STAC-compliant metadata, multidimensional spatio-temporal indexing, and a high-performance OGC WCPS engine enable complex queries that combine time, space, and sensor parameters, while delivering ultra-fast spatiotemporal analytics on imagery.
Provides real-time analysis of large-scale imagery and data cataloging and search capabilities via RESTful APIs for easy integration with external systems.
Key Feature 3
High-speed Spatiotemporal Search and Analytics
STAC-compliant metadata, multidimensional spatio-temporal indexing, and a high-performance OGC WCPS engine enable complex queries that combine time, space, and sensor parameters, while delivering ultra-fast spatiotemporal analytics on imagery.
Provides real-time analysis of large-scale imagery and data cataloging and search capabilities via RESTful APIs for easy integration with external systems.



Key Feature 4
Web Visualization Dashboard
A map-based web dashboard lets users intuitively explore and analyze satellite imagery.
Integration with OGC WMS and WCS services, time-series imagery comparison, and built-in histogram and analytics views make the dashboard practical for business workflows and help users understand their data.
Key Feature 4
Web Visualization Dashboard
A map-based web dashboard lets users intuitively explore and analyze satellite imagery.
Integration with OGC WMS and WCS services, time-series imagery comparison, and built-in histogram and analytics views make the dashboard practical for business workflows and help users understand their data.
Key Feature 4
Web Visualization Dashboard
A map-based web dashboard lets users intuitively explore and analyze satellite imagery.
Integration with OGC WMS and WCS services, time-series imagery comparison, and built-in histogram and analytics views make the dashboard practical for business workflows and help users understand their data.



Comparisons
Comparisons
KOMPSAT-3/3A
Satellite Image Build Performance
1 Node
1.8TB
3 Node
4.8TB
5 Node
7.6TB
Build Size Per 1 Day
KOMPSAT-3/3A
Satellite Image Build Performance
1 Node
1.8TB
3 Node
4.8TB
5 Node
7.6TB
Build Size Per 1 Day
KOMPSAT-3/3A
Satellite Image Build Performance
1 Node
1.8TB
3 Node
4.8TB
5 Node
7.6TB
Build Size Per 1 Day
3 Node
Satellite Image Search Performance
512x512(4KB)
0.2sec
1024x1024(16KB)
0.3sec
4096x4096(256KB)
0.7sec
16384x16384(4MB)
3.6sec
Elapsed Time in Seconds
3 Node
Satellite Image Search Performance
512x512(4KB)
0.2sec
1024x1024(16KB)
0.3sec
4096x4096(256KB)
0.7sec
16384x16384(4MB)
3.6sec
Elapsed Time in Seconds
3 Node
Satellite Image Search Performance
512x512(4KB)
0.2sec
1024x1024(16KB)
0.3sec
4096x4096(256KB)
0.7sec
16384x16384(4MB)
3.6sec
Elapsed Time in Seconds