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arXiv · 2508.13374

OrbitChain: Orchestrating In-orbit Real-time Analytics of Earth Observation Data

Zhouyu Li·Zhijin Yang·Huayue Gu·Xiaojian Wang·Yuchen Liu·Ruozhou Yu
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Abstract

Earth observation analytics have the potential to transform many sectors. However, due to limited ground connections, it currently takes hours to days to download and analyze Earth observation data, diminishing the value of data for time-sensitive applications like disaster monitoring or search-and-rescue. To enable real-time analytics, we propose OrbitChain, an in-orbit multi-satellite Earth analytics framework. OrbitChain uses a pipelined design to decompose workflows into analytics functions, and orchestrates constellation-wide resources to finish real-time analytics tasks. It provides timely insights to Earth sensing applications and enables advanced workflows like in-orbit tip-and-cue. Hardware-in-the-loop experiments show that OrbitChain can deliver analytics results in minutes, supports up to 60% more analytics workload than existing frameworks, and reduces inter-satellite communication overhead by up to 45%.

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Zhouyu Li, Zhijin Yang, Huayue Gu, Xiaojian Wang, Yuchen Liu, Ruozhou Yu. 2025-08-18. OrbitChain: Orchestrating In-orbit Real-time Analytics of Earth Observation Data. https://arxiv.org/abs/2508.13374

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