Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission Measurements

Evaluation of the environmental impact of gas plumes from stack emissions at the local level requires precise knowledge of the spatial development of the cloud, its evolution over time, and quantitative analysis of each gaseous component. With extensive developments, remote-sensing ground-based tech...

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Main Authors: Philippe de Donato, Odile Barres, Judith Sausse, Delphine Martin
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/5/678
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spelling doaj-ca850df34d4945a895deb67dab6780ef2020-11-24T22:58:03ZengMDPI AGRemote Sensing2072-42922018-04-0110567810.3390/rs10050678rs10050678Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission MeasurementsPhilippe de Donato0Odile Barres1Judith Sausse2Delphine Martin3GeoRessources Laboratory, Université de Lorraine, CNRS, CREGU, BP 70239, F-54506 Vandoeuvre-lès-Nancy, FranceGeoRessources Laboratory, Université de Lorraine, CNRS, CREGU, BP 70239, F-54506 Vandoeuvre-lès-Nancy, FranceGeoRessources Laboratory, Université de Lorraine, CNRS, CREGU, BP 70239, F-54506 Vandoeuvre-lès-Nancy, FranceGeoRessources Laboratory, Université de Lorraine, CNRS, CREGU, BP 70239, F-54506 Vandoeuvre-lès-Nancy, FranceEvaluation of the environmental impact of gas plumes from stack emissions at the local level requires precise knowledge of the spatial development of the cloud, its evolution over time, and quantitative analysis of each gaseous component. With extensive developments, remote-sensing ground-based technologies are becoming increasingly relevant to such an application. The difficulty of determining the exact 3-D thickness of the gas plume in real time has meant that the various gas components are mainly expressed using correlation coefficients of gas occurrences and path concentration (ppm.m). This paper focuses on a synchronous and non-expensive multi-angled approach combining three high-resolution visible cameras (GoPro-Hero3) and a scanning infrared (IR) gas system (SIGIS, Bruker). Measurements are performed at a NH3 emissive industrial site (NOVACARB Society, Laneuveville-devant-Nancy, France). Visible data images were processed by a first geometrical reconstruction gOcad® protocol to build a 3-D envelope of the gas plume which allows estimation of the plume’s thickness corresponding to the 2-D infrared grid measurements. NH3 concentration data could thereby be expressed in ppm and have been interpolated using a second gOcad® interpolation algorithm allowing a precise volume visualization of the NH3 distribution in the flue gas steam.http://www.mdpi.com/2072-4292/10/5/678infrared remote sensingvisible cameragas plumestereoscopynumerical interpolation3-D reconstructiongas concentrations
collection DOAJ
language English
format Article
sources DOAJ
author Philippe de Donato
Odile Barres
Judith Sausse
Delphine Martin
spellingShingle Philippe de Donato
Odile Barres
Judith Sausse
Delphine Martin
Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission Measurements
Remote Sensing
infrared remote sensing
visible camera
gas plume
stereoscopy
numerical interpolation
3-D reconstruction
gas concentrations
author_facet Philippe de Donato
Odile Barres
Judith Sausse
Delphine Martin
author_sort Philippe de Donato
title Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission Measurements
title_short Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission Measurements
title_full Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission Measurements
title_fullStr Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission Measurements
title_full_unstemmed Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission Measurements
title_sort near real-time ground-to-ground infrared remote-sensing combination and inexpensive visible camera observations applied to tomographic stack emission measurements
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-04-01
description Evaluation of the environmental impact of gas plumes from stack emissions at the local level requires precise knowledge of the spatial development of the cloud, its evolution over time, and quantitative analysis of each gaseous component. With extensive developments, remote-sensing ground-based technologies are becoming increasingly relevant to such an application. The difficulty of determining the exact 3-D thickness of the gas plume in real time has meant that the various gas components are mainly expressed using correlation coefficients of gas occurrences and path concentration (ppm.m). This paper focuses on a synchronous and non-expensive multi-angled approach combining three high-resolution visible cameras (GoPro-Hero3) and a scanning infrared (IR) gas system (SIGIS, Bruker). Measurements are performed at a NH3 emissive industrial site (NOVACARB Society, Laneuveville-devant-Nancy, France). Visible data images were processed by a first geometrical reconstruction gOcad® protocol to build a 3-D envelope of the gas plume which allows estimation of the plume’s thickness corresponding to the 2-D infrared grid measurements. NH3 concentration data could thereby be expressed in ppm and have been interpolated using a second gOcad® interpolation algorithm allowing a precise volume visualization of the NH3 distribution in the flue gas steam.
topic infrared remote sensing
visible camera
gas plume
stereoscopy
numerical interpolation
3-D reconstruction
gas concentrations
url http://www.mdpi.com/2072-4292/10/5/678
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AT judithsausse nearrealtimegroundtogroundinfraredremotesensingcombinationandinexpensivevisiblecameraobservationsappliedtotomographicstackemissionmeasurements
AT delphinemartin nearrealtimegroundtogroundinfraredremotesensingcombinationandinexpensivevisiblecameraobservationsappliedtotomographicstackemissionmeasurements
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