Area Analysis
GEOSPATIAL_INTELLIGENCE // SATELLITE_SEGMENTATION
Planetary Oversight
Transforming orbital pixels into actionable insights. By processing multi-spectral satellite streams through HPC vision clusters, advanced systems provide real-time mapping of global land usage, crop health indices, and environmental compliance at scale.
[RESOLUTION]: 10m/PIXEL
[MAP_LAYER]: CROP_CLASSIFICATION
[DETECTION]: ANOMALOUS_DEFORESTATION_ZONE_4
Geospatial Compute Stack
Analyzing global datasets requires massive parallel I/O and vision processing architecture:
- MULTI-SPECTRAL RADIOMETRIC CORRECTION
- PETABYTE-SCALE GEOTIFF INGESTION
- VISION TRANSFORMER (ViT) SEGMENTATION
- TEMPORAL CHANGE-DETECTION ALGORITHMS
- ATMOSPHERIC SCATTERING COMPENSATION
Leading Research Institutions
European Space Agency
Operating the Copernicus program and Sentinel satellites, providing the core data streams for global environmental monitoring.
NASA Earth Data
Pioneering remote sensing technologies and high-resolution land-cover products through the Landsat program.
University of Oxford
Leading research in Earth Observation and the application of machine learning to satellite imagery for sustainable development.
Joint Research Centre
Providing scientific support to EU policies through the analysis of geospatial data for food security and land-use changes.