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Open AccessArticle

SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval

1
School of Engineering, University of Basilicata, 85100 Potenza, Italy
2
ONERA, The French Aerospace Lab, 2 avenue Edouard Belin, 31055 Toulouse Cedex, France
3
Karlsruhe Institute of Technology, IMK-ASF, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(7), 1532; https://doi.org/10.3390/s19071532
Received: 1 March 2019 / Revised: 22 March 2019 / Accepted: 26 March 2019 / Published: 29 March 2019
(This article belongs to the Special Issue Advanced Hyper-Spectral Imaging, Sounding and Applications from Space)
Timely processing of observations from multi-spectral imagers, such as SEVIRI (Spinning Enhanced Visible and Infrared Imager), largely depends on fast radiative transfer calculations. This paper mostly concerns the development and implementation of a new forward model for SEVIRI to be applied to real time processing of infrared radiances. The new radiative transfer model improves computational time by a factor of ≈7 compared to the previous versions and makes it possible to process SEVIRI data at nearly real time. The new forward model has been applied for the retrieval of surface parameters. Although the scheme can be applied for the simultaneous retrieval of temperature and emissivity, the paper mostly focuses on emissivity. The inverse scheme relies on a Kalman filter approach, which allows us to exploit a sequential processing of SEVIRI observations. Based on the new forward model, the paper also presents a validation retrieval performed with in situ observations acquired during a field experiment carried out in 2017 at Gobabeb (Namib desert) validation station. Furthermore, a comparison with IASI (Infrared Atmospheric Sounder Interferometer) emissivity retrievals has been performed as well. It has been found that the retrieved emissivities are in good agreement with each other and with in situ observations, i.e., average differences are generally well below 0.01. View Full-Text
Keywords: fast forward model; infrared; emissivity spectrum; satellite; validation fast forward model; infrared; emissivity spectrum; satellite; validation
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MDPI and ACS Style

Masiello, G.; Serio, C.; Venafra, S.; Poutier, L.; Göttsche, F.-M. SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval. Sensors 2019, 19, 1532.

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