5 papers
On-board ML for Trace Gas detection in Imaging Spectroscopy data
Vít Růžička, Adam Chlus, Andrew Thorpe +1
Data collected during aerial and spaceborne imaging spectroscopy campaigns enables the detection of transient events such as trace gas emissions. However, current processing pipeli…
Fully Automatic Trace Gas Plume Detection
Vít Růžička, David R. Thompson, Jay E. Fahlen +13
Future imaging spectrometers will expand contemporary data volumes by orders of magnitude, requiring automated methods to upscale labor-intensive detection of trace gas point sourc…
Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT
Vishal V. Batchu, Michelangelo Conserva, Alex Wilson +5
Anthropogenic methane (CH4) point sources are critical drivers of near-term climate forcing, safety hazards, and system-inefficiencies. Space-based imaging spectroscopy is an emerg…
Multi-Platform Methane Plume Detection via Model and Domain Adaptation
Vassiliki Mancoridis, Brian Bue, Jake H. Lee +5
Prioritizing methane for near-term climate action is crucial due to its significant impact on global warming. Previous work used columnwise matched filter products from the airborn…
Towards Operational Automated Greenhouse Gas Plume Detection and Delineation
Brian D. Bue, Jake H. Lee, Andrew K. Thorpe +7
Operational deployment of a fully automated facility-scale greenhouse gas (GHG) plume detection system remains challenging for fine spatial resolution imaging spectrometers, despit…