The rapid growth of liquefied natural gas (LNG) exports underscores the importance of CO2 monitoring for LNG export terminals. This study presents a method for measuring CO2 emissions using remote sensing imaging spectroscopy applied to LNG terminals. The method is first validated using 47 power plant emission events with in situ measured data, then applied to 22 emission events in Sabine Pass and Cameron LNG terminals. The power plant dataset shows a robust correlation between our emission rate estimates and in situ data, with R2 0.9146 and the average error −2%. At Sabine Pass, 8 point sources are identified with emission rates ranging from 219.69 ± 54.95 to 1083.22 ± 308.06 t/hr. At Cameron, 3 point sources are identified with emission rates ranging from 91.64 ± 25.81 to 265.61 ± 67.80 t/hr. This study illustrates the potential of remote sensing to validate environmental reporting and CO2 inventories for industrial facilities.