SOURCE-LINKED INTELLIGENCE

Methane Detection On Board Satellites from Unorthorectified Imagery

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

As a potent greenhouse gas, methane is a major driver of climate change. Its effective mitigation relies on timely detection. Conventional detection methods rely on orthorectification to correct geometric distortions and matched filters to enhance plume signals, which are steps designed for ground processing and poorly suited to onboard execution. We introduce UnorthoDOS, a dataset and approach for training machine learning models directly on unorthorectified hyperspectral imagery, bypassing both orthorectification and matched-filter products. Our U-Net models trained on unorthorectified data

Read original source ↗ Open in workspace

recordType

paper

region

Global