SOURCE-LINKED INTELLIGENCE
On-board ML for Trace Gas detection in Imaging Spectroscopy data
Data collected during aerial and spaceborne imaging spectroscopy campaigns enables the detection of transient events such as trace gas emissions. However, current processing pipelines depend on slow, on-the-ground processing, which delays the time to information of each detected event and prohibits immediate follow-up actions. During the Tokyo Field Campaign of March 2026, we explored on-board processing of Imaging Spectroscopy data from the equipped AVIRIS-5 sensor. Due to communication bottlenecks, full datacubes cannot be downlinked immediately during the flight. Instead we downlink the pot
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T20:40:20.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.