Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer

Guanter, Luis; Irakulis-Loitxate, Itziar; Gorroño, Javier; Sánchez-García, Elena; Cusworth, Daniel H.; Varon, Daniel J.; Cogliati, Sergio; Colombo, R.

doi:10.1016/j.rse.2021.112671

Cited by 98 publications

(108 citation statements)

References 39 publications

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“…The IME method is commonly used to calculate flow rates from a gas concentration map [27,34,36,51], and it does not use wind direction. The IME method relates the flow rate Q I ME to the plume's total mass IME (in g), the wind speed U (in m•s −1 ) and the characteristic size of the plume L (in m) as:…”

Section: Integrated Mass Enhancement (Ime) Methodsmentioning

confidence: 99%

“…The wind speed U is derived from the 10 m ECMWF wind components. The spatial and temporal averaging and a 50% random error (1-69% for some authors [46]) added to the forecast derived values resulted in low confidence in the value of U [36]. Other authors suppose a 1.5 m•s −1 standard deviation in the wind speed [7,76].…”

Section: Wind Information and Flow Rate Estimationmentioning

confidence: 99%

“…The new imaging satellite, PRISMA (PRecursore IperSpettralle della Missione Applicativa) [35], launched in 2019, has a spatial resolution of 30 m and hyperspectral images are available. Recent work has demonstrated the feasibility of using this satellite to quantify methane plumes [36][37][38].…”

Section: Introductionmentioning

confidence: 99%

“…This paper focuses on the Korpezhe oil and gas field, located in a desert area of Turkmenistan. This site was chosen because several significant emission points are present and the background is homogeneous [36]. Based on these data, this paper first highlights the drawbacks of the LM method widely used in the literature, resulting in an underestimation of the retrieved concentration.…”

Section: Introductionmentioning

confidence: 99%

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Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site

Nesme

Marion

Lezeaux³

et al. 2021

Remote Sensing

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Methane (CH4) is one of the most contributing anthropogenic greenhouse gases (GHGs) in terms of global warming. Industry is one of the largest anthropogenic sources of methane, which are currently only roughly estimated. New satellite hyperspectral imagers, such as PRISMA, open up daily temporal monitoring of industrial methane sources at a spatial resolution of 30 m. Here, we developed the Characterization of Effluents Leakages in Industrial Environment (CELINE) code to inverse images of the Korpezhe industrial site. In this code, the In-Scene Background Radiance (ISBR) method was combined with a standard Optimal Estimation (OE) approach. The ISBR-OE method avoids the use of a complete and time-consuming radiative transfer model. The ISBR-OEM developed here overcomes the underestimation issues of the linear method (LM) used in the literature for high concentration plumes and controls a posteriori uncertainty. For the Korpezhe site, using the ISBR-OEM instead of the LM -retrieved CH4 concentration map led to a bias correction on CH4 mass from 4 to 16% depending on the source strength. The most important CH4 source has an estimated flow rate ranging from 0.36 ± 0.3 kg·s−1 to 4 ± 1.76 kg·s−1 on nine dates. These local and variable sources contribute to the CH4 budget and can better constrain climate change models.

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Section: Integrated Mass Enhancement (Ime) Methodsmentioning

confidence: 99%

Section: Wind Information and Flow Rate Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site

Nesme

Marion

Lezeaux³

et al. 2021

Remote Sensing

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“…Recent works used PRISMA spectra, in the SWIR spectral range, for achieving enhancements of XCO 2 and XCH 4 around large point sources such as power plants and gas well blowouts [32][33][34]. In these studies, the IMAP-DOAS method [35] and the Matched Filter technique [36] were employed for the retrievals.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data

et al. 2021

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The aim of this work is to develop and test a simple methodology for CO2 emission retrieval applied to hyperspectral PRISMA data. Model simulations are used to infer the best SWIR channels for CO2 retrieval purposes, the weight coefficients for a Continuum Interpolated Band Ratio (CIBR) index calculation, and the factor for converting the CIBR values to XCO2 (ppm) estimations above the background. This method has been applied to two test cases relating to the LUSI volcanic area (Indonesia) and the Solfatara area in the caldera of Campi Flegrei (Italy). The results show the capability of the method to detect and estimate CO2 emissions at a local spatial scale and the potential of PRISMA acquisitions for gas retrieval. The limits of the method are also evaluated and discussed, indicating a satisfactory application for medium/strong emissions and over soils with a reflectance greater than 0.1.

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How Firms Utilize the Data Provided by Space Firms

Haq

2024

Space Business

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This study posits some of the fundamental questions in the development of the new space economy and highlights the ways space data can be used in firms. The excess satellite data produced from nanosats leave gaps from the point of view of value creation and adoption in various business sectors. The project includes four interviews from industry and academic institutions to gather data about space data adoption and development. The interviews were conducted in Finland. The study uses opportunity creation/development lens as a basis to evaluate space data availability in various business activities. The findings include identifying key parameters before the adoption of space data in new product development. The study further emphasizes the available infrastructure and platforms for space data adoption. However, the lack of skill and knowledge present a great challenge for firms to incorporate space data in product development.

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Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer

Cited by 98 publications

References 39 publications

Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site

Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site

A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data

How Firms Utilize the Data Provided by Space Firms

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