Remote sensing atmospheric trace gases with infrared imaging spectroscopy

Leifer, Ira; Tratt, David M.; Realmuto, Vincent J.; Gerilowski, Konstantin; Burrows, J. P.

doi:10.1029/2012eo500006

Cited by 7 publications

(5 citation statements)

References 15 publications

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“…Gas-plume sensing capability depends heavily on the seepage flux, wind speed, the specification of the deployed sensor (i.e. the spectral resolution and signal-to-noise ratio; SNR), and background cover, with spectrally uniform images being more advantageous relative to spectrally and thermally heterogeneous scenes Leifer et al, 2012b;Thorpe et al, 2014). Unlike the SWIR range, which is dependent on surface albedo, sensors in the LWIR range rely merely on the thermal emission and thermal contrast between ground and target gas.…”

Section: Direct Sensing Methodsmentioning

confidence: 99%

“…Indeed, simultaneous SWIR-LWIR data acquisition is required to investigate this notion. In both ranges, however, high spectral resolution data are required to distinguish the signatures of trace gas from interfering components Leifer et al, 2012b;Thorpe et al, 2016). Gas-plume sensing case studies thus far have been confined to methane detection that is highly significant for partitioning the sources of greenhouse gasses; albeit for oil and gas exploration, ethane (C 2+ ) constitutes a better exploration indicator (Jones and Drozd, 1983).…”

Section: Direct Sensing Methodsmentioning

confidence: 99%

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Spectral remote sensing for onshore seepage characterization: A critical overview

Asadzadeh

Filho

2017

Earth-Science Reviews

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In this article, we overview the application of spectral remote sensing data collected by multi-, and hyperspectral instruments in the visible-near infrared (VNIR), short-wave infrared (SWIR), and longwave infrared (LWIR) wavelengths for characterization of seepage systems as an exploration indicator of subsurface hydrocarbon (HC) accumulations. Two seepage systems namely macro-, and microseepage are recognized. A macroseepage is defined as visible indications of oil and gas on the surface and in the air detectable directly by a remote sensing approach. A microseepage is defined as invisible traces of light HCs in soils and sediments that are detectable by its secondary footprints in the strata, hence an indirect remote sensing target. Based on these broad categories, firstly, a comprehensive set of well-described and reliable remote sensing case studies available in the literature are thoroughly reviewed and then systematically assessed as regards the methodological shortcomings and scantiness in data gathering, processing, and interpretation. The work subsequently attempts to go through seminal papers published on microseepage concept and interrelated geochemical and geophysical techniques, exhumed HC reservoirs, lab-based spectroscopic analysis of petroleum and other related disciplines from a remote sensing standpoint. The aim is to enrich the discussion and highlight the still unexplored capabilities of this technique in accomplishing exploration objectives using the concept of seepage system. Aspects of seepage phenomenon in environmental pollution and uncertainties associated with their role in global warming are also underlined.This work benefits from illustrative products generated over two study areas located in the Ventura Basin, State of California, USA and the Tucano Basin, State of Bahia, Brazil known to host distinctive macro-, and microseepage systems, respectively. In conclusion, we recommend further research over a diverse range of seepage systems and advocate for a mature conceptual model for microseepage phenomenon. ), whereas microseeps, which are argued to occur in a near vertical fashion over an accumulation, are employed as a targeting tool for petroleum exploration.Recent investigations have also revealed that seeps are a potent source of methane (with ethane and propane) greenhouse gasses to the atmosphere. It has been estimated that in the natural methane budget, seeps are the second most important source of emissions after wetlands. The estimates also reveal that onshore seepages are a more significant emitter of CH 4 than their offshore counterparts (Etiope, 2015;Etiope and Ciccioli, 2009;Etiope and Klusman, 2010;Etiope et al., 2008).Over the years, a diverse range of techniques, including remote sensing, has been employed for seepage detection. The remote sensing approach holds a great promise for this aim because it is a fast and costeffective tool applicable to different operational scales for both direct and indirect seepage mapping. In the marine environment, this technology alre...

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Section: Direct Sensing Methodsmentioning

confidence: 99%

Section: Direct Sensing Methodsmentioning

confidence: 99%

Spectral remote sensing for onshore seepage characterization: A critical overview

Asadzadeh

Filho

2017

Earth-Science Reviews

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“…This is due to high cost, logistical challenges, and the harshness of Arctic weather. Satellite Arctic observations (since 1979) have advantages for Arctic observations including quick revisit times and global coverage (Leifer et al, 2012) and can fill the significant existing temporal and spatial gaps between the few airborne and field datasets.…”

Section: Airborne and Satellite Observations Of Arctic Tropospheric Methanementioning

confidence: 99%

Satellite ice extent, sea surface temperature, and atmospheric methane trends in the Barents and Kara Seas

Leifer

Chen

McClimans

et al. 2021

Preprint

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Over a decade (2003Over a decade ( -2015 of satellite data of sea-ice extent, sea surface temperature (SST), and methane (CH 4 ) concentrations in lower troposphere over 10 focus areas within the Barents and Kara Seas (BKS) were analyzed for anomalies and trends relative to the Barents Sea. Large positive CH 4 anomalies were discovered around Franz Josef Land (FJL) and offshore west Novaya Zemlya in early fall. Far smaller CH 4 enhancement was found around Svalbard, downstream and north of known seabed seepage. SST increased in all focus areas at rates from 0.0018 to 0.15 °C yr -1 , CH4 growth spanned 3.06 to 3.49 ppb yr -1 .The strongest SST increase was observed each year in the southeast Barents Sea in June due to strengthening of the warm Murman Current (MC), and in the south Kara Sea in September. The southeast Barents Sea, the south Kara Sea and coastal areas around FJL exhibited the strongest CH 4 growth over the observation period. Likely sources are CH 4 seepage from subsea permafrost and hydrate thawing and the petroleum reservoirs underlying the central and east Barents Sea and the Kara Sea. The spatial pattern was poorly related to seabed depth. However, the increase in CH 4 emissions over time may be explained by a process of shoaling of strengthening warm ocean currents that would also advect the CH 4 to areas where seasonal deepening of the surface ocean mixed layer depth leads to ventilation of these water masses. Continued strengthening of the MC will further increase heat transfer to the BKS, with the Barents Sea ice-free in ~15 years. We thus expect marine CH 4 flux to the atmosphere from this region to continue increasing.

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“…Mako (Warren et al, 2010;Hall et al, 2011) is a TIR HSI spectrometer that was intended to fly on a third Twin Otter in close coordination with CIRPAS flights to collect high spatial, moderate spectral resolution TIR imagery. Joint data analysis would then help to identify synergies of SWIR/TIR joint datasets for trace gas remote sensing [Leifer et al, 2012]. Mako has previously demonstrated trace gas mapping at fine spatial scales and its performance against methane in particular was recently described in detail [Tratt et al, 2014].…”

Section: Mako Thermal Infrared Hyperspectral Imaging Spectrometer (To)mentioning

confidence: 99%

Greenhouse gases CarbonSat EE8 candidate mission

2014

Greenhouse Gases CarbonSat EE8 Candidate Mission

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Results from the campaign will help to support the justification of CarbonSat spectral and spatial resolution trade-offs, will deliver glint data relevant for CarbonSat glint algorithms development, will allow to scale campaign data to the CarbonSat spatial scale for investigations on intra-pixel heterogeneity, will allow to investigate assumptions and limitations of the XCH 4 proxy approach and will provide show-case data for CarbonSat application on small scales. Details of the campaign implementation are documented in the COMEX campaign implementation plan [RD-4].

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Remote sensing atmospheric trace gases with infrared imaging spectroscopy

Cited by 7 publications

References 15 publications

Spectral remote sensing for onshore seepage characterization: A critical overview

Spectral remote sensing for onshore seepage characterization: A critical overview

Satellite ice extent, sea surface temperature, and atmospheric methane trends in the Barents and Kara Seas

Greenhouse gases CarbonSat EE8 candidate mission

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