In this paper, we explore the determination of a spectral emissivity profile that closely matches real data, intended for use as an initial guess and/or a priori information in a retrieval code. Our approach employs a Bayesian method that integrates the CAMEL (Combined ASTER MODIS Emissivity over Land) emissivity database with the MODIS/Terra+Aqua Yearly Land Cover Type database. The solution is derived as a convex combination of high-resolution Huang profiles using the Bayesian framework. We test our method on IASI (Infrared Atmospheric Sounding Interferometer) data and find that it outperforms the linear spline interpolation of the CAMEL data and the Huang emissivity database itself.
FORUM, Far infrared, Emissivity retrieval, CAMEL database
2025Poster / Abstract non pubblicati in atti di convegnorestricted access
The “Earth Moon Mars” Research Infrastructure: a novel HW/SW platform for end-to-end satellite data processing, optimally suited for FORUM and beyond
Ugo Cortesi
;
Flavio Barbara
;
Simone Ceccherini
;
Samuele Del Bianco
;
Stefano Della Fera
;
Alessandra Langella
;
Marco Gai
;
Liliana Guidetti
;
Nicola Zoppetti
;
Massimo Baldi
;
Luca Sgheri
;
Chiara Zugarini
;
Alberto Ortolani
;
Samantha Melani
;
Luca Rovai
;
Cristina Sgattoni
;
Oscar Peverini
;
Giuseppe Addamo
;
Giuseppe Virone
;
Martina Mammarella
;
Luca Palchetti
;
Marco Ridolfi
;
Gianluca Di Natale
;
Simone Menci
;
Claudio Belotti
;
Marco Barucci
;
Silvia Viciani
;
Elisa Castelli
;
Adelaide Dinoi
;
Federico Fabiano
;
Enzo Papandrea
;
Umberto Rizza
;
Alessandro Tiesi
;
Chiara Ventrucci
;
Gabriele Franzese
;
Giuseppe Mongelluzzo
;
Carmen Porto
;
Simone Silvestro
;
Giuseppe Piccioni
;
Marcel Snels
;
Francesca Vitali
;
David Biondi
;
Angelo Boccaccini
;
Francesca Esposito
;
Fabio D’Amico
;
Serena Sarra
;
Immacolata Donnarumma
;
Alessandro Turchi
In this contribution, we provide an overview of the EMM (Earth and Mars Research Network) research infrastructure, outlining its main components and the potential scientific products that can be derived through its use. The presentation delves into selected aspects in greater detail, particularly where they resonate with the multiple scientific and technological challenges associated with the FORUM mission.
FORUM (Far-infrared Outgoing Radiation Understanding and Monitoring) has been approved to be the ninth Earth Explorer mission of the European Space Agency and is scheduled for launch in 2027. The core FORUM instrument is a Fourier transform spectrometer, which will, for the first time, measure the upwelling spectral radiance in the far-infrared (FIR) and mid-infrared (MIR) portions of the Earth’s spectrum. These radiances will be processed up to level 2, to determine mainly the vertical profile of water vapor, surface spectral emissivity, and cloud parameters. In this paper, we assess the performance of the FORUM surface spectral emissivity product based on all-sky sensitivity study. In the FIR, we find that the retrieval error is mainly driven by the precipitable water vapor (PWV) in clear-sky conditions. In dry atmospheres, FIR emissivity can be retrieved with an error less than 0.01. In cloudy conditions, small errors can be achieved for optically thin clouds, especially for small values of the PWV. In the MIR, we observe that a large thermal contrast between the surface and the lowest atmospheric layers increases the sensitivity of the measurements to the surface emissivity in clear-sky conditions and an emissivity retrieval error less than 0.01 can usually be achieved. In cloudy conditions, small errors can be achieved for optically thin clouds, especially for large values of the surface temperature. Applying a coarser retrieval grid further reduces retrieval error, at the expense of an increased emissivity smoothing error.
Remote sensing, Retrieval of geophysical parameters, Far infrared, Surface spectral emissivity, FORUM
