Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

Abstract

Abstract. Localized anthropogenic sources of atmospheric CH4 are highly uncertain and temporally variable. Airborne remote measurement is an effective method to detect and quantify these emissions. In a campaign context, the science yield can be dramatically increased by real-time retrievals that allow operators to coordinate multiple measurements of the most active areas. This can improve science outcomes for both single- and multiple-platform missions. We describe a case study of the NASA/ESA CO2 and Methane Experiment (COMEX) campaign in California during June and August/September 2014. COMEX was a multi-platform campaign to measure CH4 plumes released from anthropogenic sources including oil and gas infrastructure. We discuss principles for real-time spectral signature detection and measurement, and report performance on the NASA Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG). AVIRIS-NG successfully detected CH4 plumes in real-time at Gb s−1 data rates, characterizing fugitive releases in concert with other in situ and remote instruments. The teams used these real-time CH4 detections to coordinate measurements across multiple platforms, including airborne in situ, airborne non-imaging remote sensing, and ground-based in situ instruments. To our knowledge this is the first reported use of real-time trace gas signature detection in an airborne science campaign, and presages many future applications.

Airborne methane remote measurements reveal heavy-tail flux distribution in Four Corners region

“…AVIRIS-NG measures reflected solar radiation between 0.35 μm and 2.5 μm with 5-nm spectral resolution and sampling. Here, we used two related CH 4 retrieval algorithms based on absorption spectroscopy (7,13), namely, (i) IMAP-DOAS and (ii) a linearized matched filter technique.…”

Reduced Methane Emissions from Santa Barbara Marine Seeps

“…It focused on strong CH 4 sources, such as oil fields [21,22] and landfills [23], among other important anthropogenic sources.…”

Spectral Filtration of Images by Means of Dispersive Systems

“…Среди них -оценка состояния расти-тельных [1] и водных ресурсов [2], пищевая про-мышленность [3], мониторинг городской среды [4] и промышленных объектов [5], задачи обе-спечения безопасности и правопорядка [6], ме-дицинские и биологические приложения [7][8][9][10]. Основными классами задач, решаемых СПР, яв-ляются классификация областей, поиск целей, детектирование изменений, оценка количества участков разных типов.…”