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  • Presentation | GC23A: Advancing Global Imaging Spectroscopy and Thermal Infrared Measurements, Including Results from ECOSTRESS, EMIT, SBG, and Others II Oral
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  • GC23A-05: Operational Deployment of Hyperspectral Machine Learning Models for Methane Leak Detection at the United Nations
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  • Location Icon217-219
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Author(s):
Vít Růžička, NASA Jet Propulsion Laboratory (First Author, Presenting Author)
Gonzalo Mateo-García, International Methane Emissions Observatory, United Nations Environment Programme
Itziar Irakulis-Loitxate, International Methane Emissions Observatory, United Nations Environment Programme
Manuel Montesino San Martin, International Methane Emissions Observatory, United Nations Environment Programme
Juan Emmanuel Johnson, International Methane Emissions Observatory, United Nations Environment Programme
Anna Allen, International Methane Emissions Observatory, United Nations Environment Programme
Claudio Cifarelli, International Methane Emissions Observatory, United Nations Environment Programme
Luis Guanter, Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València

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