Imaging Fourier transform spectrometry of jet engine exhaust with the telops FIRST-MWE

Bradley, Kenneth C.; Bowen, Spencer; Gross, Kevin C.; Marciniak, Michael A.; Perram, Glen P.

doi:10.1109/aero.2009.4839444

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…Many authors report SOC estimation from airborne data, especially exploiting the VNIR-SWIR region [10][11][12][13]16,62,63], but also the long-wave infrared region (LWIR; 8-14 µm) [15]. However, all of them build a calibration dataset for the airborne spectra on samples analysed in the laboratory (i.e., the traditional approach).…”

Section: Discussionmentioning

confidence: 99%

Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database

et al. 2018

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Abstract:The most commonly used approach to estimate soil variables from remote-sensing data entails time-consuming and expensive data collection including chemical and physical laboratory analysis. Large spectral libraries could be exploited to decrease the effort of soil variable estimation and obtain more widely applicable models. We investigated the feasibility of a new approach, referred to as bottom-up, to provide soil organic carbon (SOC) maps of bare cropland fields over a large area without recourse to chemical analyses, employing both the pan-European topsoil database from the Land Use/Cover Area frame statistical Survey (LUCAS) and Airborne Prism Experiment (APEX) hyperspectral airborne data. This approach was tested in two areas having different soil characteristics: the loam belt in Belgium, and the Gutland-Oesling region in Luxembourg. Partial least square regression (PLSR) models were used in each study area to estimate SOC content, using both bottom-up and traditional approaches. The PLSR model's accuracy was tested on an independent validation dataset. Both approaches provide SOC maps having a satisfactory level of accuracy (RMSE = 1.5-4.9 g·kg −1 ; ratio of performance to deviation (RPD) = 1.4-1.7) and the inter-comparison did not show differences in terms of RMSE and RPD either in the loam belt or in Luxembourg. Thus, the bottom-up approach based on APEX data provided high-resolution SOC maps over two large areas showing the within-and between-field SOC variability.

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Section: Discussionmentioning

confidence: 99%

Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database

et al. 2018

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“…Although some mobile sources like ships [6] or aircraft engines [7] have been measured, remote measurement of automobile exhaust emissions has been limited to nonimaging methods, that, furthermore, provide only ratios of pollutants rather than absolute values [8]. In this work, we explore the ability of IFTS to provide quantitative images of temperature and gas column density of this kind of gas sources.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral quantitative imaging of gas sources in the mid-infrared

Rodríguez-Conejo

Meléndez

2015

Appl. Opt.

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An imaging Fourier transform spectrometer operating in the medium infrared (1800-5000 cm(-1)) has been used to image two gas sources: a controlled CO2 leak at room temperature and the exhaust of a combustion engine. Spectra have been acquired at a resolution of 0.5 cm(-1) using an extended blackbody as the background. By fitting them with theoretical spectra generated with parameters from the High-Resolution Transmission Molecular Absorption database, quantitative maps of temperature and gas column density (concentration·path product) for the gas plumes have been obtained. Spectra are related to gas plume parameters by means of a radiometric model that takes into account not only gas absorption, but also its emission and the atmospheric absorption, as well as the instrument lineshape function. Measurements for the gas leak show very good agreement between retrieved and nominal values of temperature and CO2 column density. This result has direct application to obtain quantitative imaging of exhaust emissions from automobiles and other mobile sources, as shown here with measurements of exhaust gases in a diesel engine.

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Review: Applications of infrared thermography for studying flows with participating media

Blunck

2022

Experimental Thermal and Fluid Science

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Imaging Fourier transform spectrometry of jet engine exhaust with the telops FIRST-MWE

Cited by 6 publications

References 3 publications

Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database

Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database

Hyperspectral quantitative imaging of gas sources in the mid-infrared

Review: Applications of infrared thermography for studying flows with participating media

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