AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTS
In this paper, we focus on the retrieval of microphysical and optical properties of industrial aerosol plumes through a process using airborne hyperspectral and Sentinel-2 multi-spectral images. The process allows first to perform atmospheric correction and second to determine background aerosols th...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/791/2020/isprs-archives-XLIII-B3-2020-791-2020.pdf |
| _version_ | 1818840608365608960 |
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| author | G. Calassou P.-Y. Foucher J.-F. Leon |
| author_facet | G. Calassou P.-Y. Foucher J.-F. Leon |
| author_sort | G. Calassou |
| collection | DOAJ |
| description | In this paper, we focus on the retrieval of microphysical and optical properties of industrial aerosol plumes through a process using airborne hyperspectral and Sentinel-2 multi-spectral images. The process allows first to perform atmospheric correction and second to determine background aerosols thanks to a comparison between hyperspectral and Sentinel-2 reflectances. Hyperspectral methodologies use the radiance differential between the measurement in the plume and the corresponding measurements out of the plume to estimate plume properties. To retrieve the surface reflectance under the plume, a principal component analysis coupling hyperspectral and multispectral data class by class is achieved. The developed method aims to compare the difference between measured and estimated reflectance with a radiative transfer model accounting for plume properties (particle radius and aerosol optical thickness of the plume). We have applied the method to a steel plant in the south of France. The retrieved plume show an aerosol mean radius between 0.05 and 0.2 µm with a mean aerosol optical thickness about 0.05 along the plume. |
| first_indexed | 2024-12-19T04:12:53Z |
| format | Article |
| id | doaj.art-4c01d7527abe4c81bc4f46e15ee84413 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-19T04:12:53Z |
| publishDate | 2020-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-4c01d7527abe4c81bc4f46e15ee844132022-12-21T20:36:22ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-08-01XLIII-B3-202079179710.5194/isprs-archives-XLIII-B3-2020-791-2020AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTSG. Calassou0P.-Y. Foucher1J.-F. Leon2ONERA-DOTA, University of Toulouse, FR-31055 Toulouse, FranceONERA-DOTA, University of Toulouse, FR-31055 Toulouse, FranceLaboratoire d’Aérologie, Université Toulouse 3 Paul Sabatier, CNRS, Toulouse, FranceIn this paper, we focus on the retrieval of microphysical and optical properties of industrial aerosol plumes through a process using airborne hyperspectral and Sentinel-2 multi-spectral images. The process allows first to perform atmospheric correction and second to determine background aerosols thanks to a comparison between hyperspectral and Sentinel-2 reflectances. Hyperspectral methodologies use the radiance differential between the measurement in the plume and the corresponding measurements out of the plume to estimate plume properties. To retrieve the surface reflectance under the plume, a principal component analysis coupling hyperspectral and multispectral data class by class is achieved. The developed method aims to compare the difference between measured and estimated reflectance with a radiative transfer model accounting for plume properties (particle radius and aerosol optical thickness of the plume). We have applied the method to a steel plant in the south of France. The retrieved plume show an aerosol mean radius between 0.05 and 0.2 µm with a mean aerosol optical thickness about 0.05 along the plume.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/791/2020/isprs-archives-XLIII-B3-2020-791-2020.pdf |
| spellingShingle | G. Calassou P.-Y. Foucher J.-F. Leon AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTS |
| title_full | AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTS |
| title_fullStr | AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTS |
| title_full_unstemmed | AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTS |
| title_short | AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTS |
| title_sort | aerosol plumes characterization by hyperspectral images coupled with sentinel 2 products |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/791/2020/isprs-archives-XLIII-B3-2020-791-2020.pdf |
| work_keys_str_mv | AT gcalassou aerosolplumescharacterizationbyhyperspectralimagescoupledwithsentinel2products AT pyfoucher aerosolplumescharacterizationbyhyperspectralimagescoupledwithsentinel2products AT jfleon aerosolplumescharacterizationbyhyperspectralimagescoupledwithsentinel2products |