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Toward Real-Time Earth System Intelligence Through Advancements in Onboard AI Processing: A review
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DOI：10.1109/mgrs.2026.3665978.png)
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Abstract
En 中文
The Earth Observation (EO) sector is rapidly evolving into Earth Action (EA), with onboard Artificial Intelligence (AI) processing emerging as a key enabler. This technology offers strategic advantages through 1) enabling autonomous and low-latency EO missions with adaptive data processing capabilities that overcome the limitations of ground-based post-processing in handling the vast data volumes produced by growing satellite constellations and 2) supporting the evolution toward AI-driven and distributed EO mission architectures. This review explores the key technological advancements, mission architectures, and emerging paradigms that are shaping the next-generation EO systems. Pioneering EO missions are presented to showcase current capabilities, while the commercial, technical, and operational implications are analyzed alongside key challenges and ongoing research efforts (January 2020 to March 2025) aimed at enabling Real-Time (RT) Earth system intelligence.
Keywords:
Space missions
Low earth orbit satellites
Payloads
Earth Observing System
Space technology
Sentinel-2
Artificial satellites
Telemetry
Satellite images
Space exploration
Journal
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16.4
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