Measuring trace gases in plumes from hyperspectral remotely sensed data

Marion, Rodolphe; Michel, R.; Faye, Christian

doi:10.1109/tgrs.2003.820604

Cited by 27 publications

(16 citation statements)

References 22 publications

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“…The robust and fast APDA method proved to perform better than N/W and CIBR, particularly in the low-to-medium reflectance interval (0.1, 0.3), and it is often used for operational processing (e.g., [30]). Curvefitting techniques may achieve higher accuracy than APDA but are time-consuming, and some are not yet operational [28], [29].…”

Section: Application Of the Methodology: Case Studymentioning

confidence: 99%

Considerations on Water Vapor and Surface Reflectance Retrievals for a Spaceborne Imaging Spectrometer

Richter

Schläpfer

2008

IEEE Trans. Geosci. Remote Sensing

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Considerations on water vapor and surface reflectance retrievals for a spaceborne imaging spectrometer Considerations on water vapor and surface reflectance retrievals for a spaceborne imaging spectrometer Abstract Abstract-The retrievals of atmospheric water vapor column and surface reflectance from air-or spaceborne hyperspectral imagery require accurate spectroradiometric calibration and a radiative transfer (RT) code. Since RT codes are too time consuming to be run on a per-pixel basis, a common technique employs the offline compilation of an atmospheric database and its subsequent use for the atmospheric correction of the image cube. The challenge is to design the size of the database as small as possible for a requested retrieval accuracy. We present a methodology to compile the database for a specified retrieval accuracy in water vapor and surface reflectance for a given set of input surface reflectance spectra and a chosen RT algorithm. The method is applied as a case study conducted for the planned German imaging spectrometer EnMAP. Some tradeoff considerations are also discussed. For the specified range of columnar water vapor (0.5-4.5 cm), results demonstrate that five water vapor grid points in the database are sufficient to achieve the requested relative root-mean-square retrieval accuracies of 2% and 3% in water vapor and surface reflectance, respectively. It should be pointed out that this is not intended as a general claim of retrieval accuracy achievable under typical remote sensing conditions, but these figures apply only to the theoretical conditions of the calculation, i.e., assuming the same conditions for forward simulation and retrieval. Nevertheless, these figures are indispensable for the design of a database, which is an important step for the atmospheric correction of imaging spectrometer data and the sole topic of this paper Abstract-The retrievals of atmospheric water vapor column and surface reflectance from air-or spaceborne hyperspectral imagery require accurate spectroradiometric calibration and a radiative transfer (RT) code. Since RT codes are too time consuming to be run on a per-pixel basis, a common technique employs the offline compilation of an atmospheric database and its subsequent use for the atmospheric correction of the image cube. The challenge is to design the size of the database as small as possible for a requested retrieval accuracy. We present a methodology to compile the database for a specified retrieval accuracy in water vapor and surface reflectance for a given set of input surface reflectance spectra and a chosen RT algorithm. The method is applied as a case study conducted for the planned German imaging spectrometer EnMAP. Some tradeoff considerations are also discussed. For the specified range of columnar water vapor (0.5-4.5 cm), results demonstrate that five water vapor grid points in the database are sufficient to achieve the requested relative root-mean-square retrieval accuracies of 2% and 3% in water vapor and surface reflectance, respectively. It s...

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Section: Application Of the Methodology: Case Studymentioning

confidence: 99%

Considerations on Water Vapor and Surface Reflectance Retrievals for a Spaceborne Imaging Spectrometer

Richter

Schläpfer

2008

IEEE Trans. Geosci. Remote Sensing

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“…AVIRIS has been used for high-resolution mapping of CO 2 plumes from industrial sources (Dennison et al, 2013) and wildfires (Marion et al, 2004;Deschamps et al, 2011). More recently, AVIRIS-NG (approximately 5 nm spectral resolution and sampling) has surveyed large regions to identify CH 4 emissions associated with oil production (Thompson et al, 2015b), gas extraction , hydraulic fracturing (Aubrey et al, 2015), and a landfill (Krautwurst et al, 2017).…”

Section: Airborne Imaging Spectrometersmentioning

confidence: 99%

Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: application to AVIRIS-NG

et al. 2017

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Abstract. At local scales, emissions of methane and carbon dioxide are highly uncertain. Localized sources of both trace gases can create strong local gradients in its columnar abundance, which can be discerned using absorption spectroscopy at high spatial resolution. In a previous study, more than 250 methane plumes were observed in the San Juan Basin near Four Corners during April 2015 using the next-generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG) and a linearized matched filter. For the first time, we apply the iterative maximum a posteriori differential optical absorption spectroscopy (IMAP-DOAS) method to AVIRIS-NG data and generate gas concentration maps for methane, carbon dioxide, and water vapor plumes. This demonstrates a comprehensive greenhouse gas monitoring capability that targets methane and carbon dioxide, the two dominant anthropogenic climate-forcing agents. Water vapor results indicate the ability of these retrievals to distinguish between methane and water vapor despite spectral interference in the shortwave infrared. We focus on selected cases from anthropogenic and natural sources, including emissions from mine ventilation shafts, a gas processing plant, tank, pipeline leak, and natural seep. In addition, carbon dioxide emissions were mapped from the flue-gas stacks of two coal-fired power plants and a water vapor plume was observed from the combined sources of cooling towers and cooling ponds. Observed plumes were consistent with known and suspected emission sources verified by the true color AVIRIS-NG scenes and higher-resolution Google Earth imagery. Real-time detection and geolocation of methane plumes by AVIRIS-NG provided unambiguous identification of individual emission source locations and communication to a ground team for rapid follow-up. This permitted verification of a number of methane emission sources using a thermal camera, including a tank and buried natural gas pipeline.

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“…Had hoc procedure estimates the atmospheric contribution from the radiance images and yield atmospheric correction with typical precision better than 10% [ Marion et al , 2004]. In order to reduce the effect of residual uncertainty on the atmospheric contribution, we limit our bandwidth to (570–690 nm).…”

Section: Estimating Bathymetric Changes From Hyperspectral Imagesmentioning

confidence: 99%

“…A standard maritime aerosol is selected with an aerosol‐scale height set to 2.0 km, while the CO2 mixing ratio is set to 390 ppm. Second, we further tested the transmittance obtained with that first approach and optimized the atmospheric correction by applying a gas retrieval methodology using the joint reflectance and gas estimator (JRGE) methodology [ Marion et al , 2004]. This technique estimates the variations in gas concentrations relatively to the standard atmospheric model used in the first step (applied here on land and vegetation areas, zone C in Figure 3).…”

Section: Introductionmentioning

confidence: 99%

Uplift of the 2004 Sumatra‐Andaman earthquake measured from differential hyperspectral imagery of coastal waters

2008

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[1] We describe a procedure to measure coseismic change of shallow coastal bathymetry using multispectral imagery. This technique is applied to HYPERION hyperspectral images acquired along the shallow coast of the North Andaman Islands to estimate the uplift induced by the M w 9.15, 26 December 2004, earthquake. Attenuation coefficient of the particularly clear coastal waters is estimated from two preevent images with a 22 cm tide level difference. Various sources of noise on the estimate of the uplift resulting from atmospheric correction, data registration, sensor noise, and fundamental assumption of stationary optical properties of the scene with time are studied. Average uplift over the shallow bathymetry covered by the imagery is 0.85 ± 0.10 m, increasing from south to north from 0.56 ± 0.10 to 1.12 ± 0.10 m. The uplift amplitude is consistent with local field measurements. These data place constraints on the width of the megathrust rupture in the Andaman area, estimated to about 160 km, and on the amount of coseismic slip there estimated to about 10 m.

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Measuring trace gases in plumes from hyperspectral remotely sensed data

Cited by 27 publications

References 22 publications

Considerations on Water Vapor and Surface Reflectance Retrievals for a Spaceborne Imaging Spectrometer

Considerations on Water Vapor and Surface Reflectance Retrievals for a Spaceborne Imaging Spectrometer

Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: application to AVIRIS-NG

Uplift of the 2004 Sumatra‐Andaman earthquake measured from differential hyperspectral imagery of coastal waters

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