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Use Case "Satellite Data Processing"

Overview

Modern satellites generate massive data volumes (Earth-observation imagery, radar, telemetry). Traditionally, raw data is sent to centralized cloud data centers for processing – causing delays, high bandwidth costs, and reliance on non-European cloud providers.

This use case shows how the EMDC (Edge Micro Data Center) enables high-performance processing directly at satellite ground stations. By moving compute to where data is received, CAPE supports faster decisions, lower latency, and improved operational efficiency for space applications.

Key Challenges in Satellite Data Processing

Satellite operators face several fundamental challenges:

  • Latency: Time-critical use cases (disaster response, maritime surveillance, environmental monitoring) suffer when processing is remote
  • Bandwidth costs: Sending raw datasets is expensive; only a fraction of the data may be relevant after processing.
  • Scalability: Data rates vary by satellite pass and mission phase, requiring elastic infrastructure
  • Security & sovereignty: Sensitive Earth-observation/government data must stay under European control and meet regulatory needs
  • Energy efficiency: Continuous cloud processing increases cost and carbon footprint

Concept: Processing at the Edge

Satellite images as payload input for the edge data processing pipeline

CAPE addresses these challenges by deploying EMDC systems directly at satellite ground stations. Instead of forwarding raw data to the cloud, the data is processed locally as soon as it is received. This enables:

  • Immediate filtering and decoding of raw payload data
  • Local image generation and enhancement
  • AI-based analysis at the edge
  • Transmission of only high-value results to the cloud

High-Level Processing Flow

Satellite data processing typically follows three conceptual stages:

  • L0 – Raw data processing: demodulation, error correction, frame extraction, synchronization/cleanup.
  • L1 – Data reconstruction: conversion to structured outputs (calibrated images, geolocated measurements).
  • L2 – Information products: science-ready outputs (object detection, indicators, change maps).

 

The EMDC accelerates these stages with GPUs, FPGAs, and AI accelerators, enabling real-time or near-real-time processing.

Data processing chain

Role of the Edge Micro Data Center (EMDC)

The EMDC platform provides:

  • High-performance compute close to antennas
  • Hardware acceleration for signal processing
  • AI inference at the edge
  • Secure local storage
  • High-speed networking for data distribution

The infrastructure is modular, ground stations can scale capacity dynamically depending on satellite passes or mission requirements. This enables “processing-on-demand” without over-provisioning hardware.

Why Edge Processing Matters

Processing satellite data at the edge delivers:

  • Faster reaction time
  • Lower transmission costs
  • Improved data security
  • Reduced cloud dependency
  • Lower CO₂ footprint
  • Sovereign European infrastructure

Summary

Satellite payload processing use case demonstrates how CAPE and the EMDC platform enable a paradigm shift in satellite data processing. Instead of relying on centralized clouds, data is processed directly at ground stations using high-performance edge infrastructure.

This approach unlocks faster insights, better scalability, improved security, and significant cost savings – making it ideal for next-generation space missions and Earth observation services.