56 citations · 94 across the 12 of their papers we have counts for
13 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…
A Fast Methane Detection Pipeline on Board Satellites Based on Mag1c-SAS and LinkNet
Jonáš Herec, Vít Růžička, Rado Pitoňák +1
Methane is a potent greenhouse gas, and detecting leaks early via hyperspectral satellite imagery can help climate change mitigation efforts. Meanwhile, many existing hyperspectral…
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…
Operational machine learning for remote spectroscopic detection of CH point sources
Vít Růžička, Gonzalo Mateo-García, Itziar Irakulis-Loitxate +7
Mitigating anthropogenic methane sources is one of the most cost-effective levers to slow down global warming. While satellite-based imaging spectrometers, such as EMIT, PRISMA, an…
SuNeRF-CME: Physics-Informed Neural Radiance Fields for Tomographic Reconstruction of Coronal Mass Ejections
Robert Jarolim, Martin Sanner, Chia-Man Hung +8
Coronagraphic observations enable direct monitoring of coronal mass ejections (CMEs) through scattered light from free electrons, but determining the 3D plasma distribution from 2D…
Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware
Jonáš Herec, Vít Růžička, Rado Pitoňák
Methane is a potent greenhouse gas, and detecting its leaks early via hyperspectral satellite imagery can help mitigate climate change. Meanwhile, many existing missions operate in…