Bringing Agentic Search to Earth Observation Data Discovery
NASA and its data centers hold thousands of geoscience datasets and tools like Worldview, Giovanni, the Science Discovery Engine, and Harmony. Finding the right one is hard even for domain experts. We present an agentic search system, deployed as a public service for the geoscience community, that takes a natural-language research query and returns the matching datasets and tools. We demonstrate that, in the era of large language models, the latent value of knowledge graphs (KGs) can be substantially amplified through agentic search. From the NASA Earth Observation Knowledge Graph (NASA EO-KG)
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
- Linked via arxiv authorMinghan Yu →
Bringing Agentic Search to Earth Observation Data Discovery
- Linked via arxiv authorYouran Sun →
Bringing Agentic Search to Earth Observation Data Discovery
- Linked via arxiv authorChugang Yi →
Bringing Agentic Search to Earth Observation Data Discovery
- Linked via arxiv authorYixin Wen →
Bringing Agentic Search to Earth Observation Data Discovery
- Linked via arxiv authorHaizhao Yang →
Bringing Agentic Search to Earth Observation Data Discovery