Assessing the Added Value of Onboard Earth Observation Processing with the IRIDE HEO Service Segment
Summary: arXiv:2604.07120v1 Announce Type: cross
Abstract
Current operational Earth Observation (EO) services, including the Copernicus Emergency Management Service (CEMS), the European Forest Fire Information System (EFFIS), and the Copernicus Land Monitoring Service (CLMS), rely primarily on ground-based processing pipelines. While these systems provide mature large-scale information products, they remain constrained by downlink latency, bandwidth limitations, and limited capability for autonomous observation prioritization.
The International Report for an Innovative Defence of Earth (IRIDE) programme is a national Earth observation initiative led by the Italian government to support public authorities through timely, objective information derived from spaceborne data. Rather than a single constellation, IRIDE is designed as a constellation of constellations, integrating heterogeneous sensing technologies within a unified service-oriented architecture.
Within this framework, Hawk for Earth Observation (HEO) enables onboard generation of data products, allowing information extraction earlier in the processing chain. This paper examines the limitations of ground-only architectures and evaluates the added value of onboard processing at the operational service level.
Key Findings
The IRIDE burnt-area mapping service serves as a representative case study to demonstrate how onboard intelligence can support:
- Higher Spatial Detail: Achieving sub-three-metre ground sampling distance, enabling more precise data collection.
- Detection of Smaller Events: Facilitating a minimum mapping unit of three hectares, which allows for the identification of smaller environmental changes.
- Improved System Responsiveness: Reducing latency in delivering critical data for decision-making processes.
Complementarity to Existing Services
Rather than replacing existing Copernicus services, the IRIDE HEO capability is positioned as a complementary layer providing image-driven pre-classification to support downstream emergency and land-management workflows. This approach enhances the operational landscape by integrating the strengths of both ground-based and onboard processing methodologies.
Conclusion
This work highlights the operational value of onboard intelligence for emerging low-latency EO service architectures. By addressing the limitations of traditional ground-only systems, onboard processing through the IRIDE HEO service segment represents a significant advancement in the field of Earth observation. As the demand for timely and accurate environmental data continues to grow, initiatives such as IRIDE will play a crucial role in supporting public authorities and enhancing our understanding of Earth’s dynamic systems.