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Articles | Volume XLIII-B3-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 791–797, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-791-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 791–797, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-791-2020

  21 Aug 2020

21 Aug 2020

AEROSOL PLUMES CHARACTERIZATION BY HYPERSPECTRAL IMAGES COUPLED WITH SENTINEL-2 PRODUCTS

G. Calassou1, P.-Y. Foucher1, and J.-F. Leon2 G. Calassou et al.
  • 1ONERA-DOTA, University of Toulouse, FR-31055 Toulouse, France
  • 2Laboratoire d’Aérologie, Université Toulouse 3 Paul Sabatier, CNRS, Toulouse, France

Keywords: Aerosols, Hyperspectral

Abstract. 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.