Improving atmospheric CO
            <sub>2</sub>
            retrieval based on the collaborative use of Greenhouse gases Monitoring Instrument and Directional Polarimetric Camera sensors on Chinese hyperspectral satellite GF5-02

Ye, Hanhan; Shi, Hanqing; Wang, Xianhua; Sun, Erchang; Li, Chao; An, Yuan; Wu, Shichao; Xiong, Wei; Li, Zhengqiang; Landgraf, Jochen

doi:10.1080/10095020.2023.2238773

Cited by 8 publications

(1 citation statement)

References 26 publications

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“…The main technical parameters of each channel imaging spectrometer are shown in Table 5 below. The SHIS observational data employ the optimal estimation algorithm in the physical retrieval method, achieving an XCO 2 retrieval accuracy better than 2.7 ppm [7,67]. The experiment selected the aerial flight plan over the Huadian Power Plant (see Figure 16).…”

Section: Instruments and Experimental Subjectmentioning

confidence: 99%

Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model

Li,

Wang,

et al. 2023

Remote Sensing

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Coal-fired power plants, as major anthropogenic CO2 emission sources, constitute one of the largest contributors to global greenhouse gas emissions. Accurately calculating the dispersion process of CO2 emissions from these point sources is crucial, as it will aid in quantifying CO2 emissions using remote sensing measurements. Employing the Lagrangian Particle Dispersion Theory Model (LPDTM), our study involves modeling CO2 diffusion from point sources. Firstly, we incorporated high-resolution DEM (Digital Elevation Model) and artificial building elements obtained through the Adaptive Deep Learning Location Matching Method, which is involved in CO2 simulation. The accuracy of the results was verified using meteorological stations and aircraft measurements. Additionally, we quantitatively analyzed the influence of terrain and artificial building characteristics on high spatial resolution atmospheric CO2 diffusion simulations, revealing the significance of surface characteristics in dispersion modeling. To validate the accuracy of the LPDTM in high-resolution CO2 diffusion simulation, a comparative experiment was conducted at a power plant in Yangzhou, Jiangsu Province, China. The simulated result was compared with observation from aerial flights, yielding the R2 (Correlation Coefficient) of 0.76, the RMSE (Root Mean Square Error) of 0.267 ppm, and the MAE (Mean Absolute Error) of 0.2315 ppm for the comparison of 73 pixels where the plume intersected with flight trajectories. The findings demonstrate a high level of consistency between the modeled CO2 point source plume morphology and concentration quantification and the actual observed outcomes. This study carried out a quantitative assessment of the influence of surface features on high-resolution atmospheric CO2 point source diffusion simulations, resulting in an enhanced accuracy of the simulated CO2 concentration field. It offers essential technological and theoretical foundations for the accurate quantification of anthropogenic CO2 emissions using top-down approaches.

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Section: Instruments and Experimental Subjectmentioning

confidence: 99%

Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model

Li,

Wang,

et al. 2023

Remote Sensing

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Hyperspectral microscopy- applications of hyperspectral imaging techniques in different fields of science: a review of recent advances

Banu,

Lerma,

Ahmed

et al. 2023

Applied Spectroscopy Reviews

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Improving signal strength of tree rings for paleoclimate reconstruction by micro-hyperspectral imaging

Sun,

Fei,

Zheng

et al. 2023

Geo-spatial Information Science

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Improving atmospheric CO ₂ retrieval based on the collaborative use of Greenhouse gases Monitoring Instrument and Directional Polarimetric Camera sensors on Chinese hyperspectral satellite GF5-02

Cited by 8 publications

References 26 publications

Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model

Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model

Hyperspectral microscopy- applications of hyperspectral imaging techniques in different fields of science: a review of recent advances

Improving signal strength of tree rings for paleoclimate reconstruction by micro-hyperspectral imaging

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Improving atmospheric CO 2 retrieval based on the collaborative use of Greenhouse gases Monitoring Instrument and Directional Polarimetric Camera sensors on Chinese hyperspectral satellite GF5-02

Cited by 8 publications

References 26 publications

Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model

Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model

Hyperspectral microscopy- applications of hyperspectral imaging techniques in different fields of science: a review of recent advances

Improving signal strength of tree rings for paleoclimate reconstruction by micro-hyperspectral imaging

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Product

Resources

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Improving atmospheric CO ₂ retrieval based on the collaborative use of Greenhouse gases Monitoring Instrument and Directional Polarimetric Camera sensors on Chinese hyperspectral satellite GF5-02