We have developed a new algorithm for the simultaneous retrieval of the atmospheric profiles (temperature, humidity, ozone and aerosol) and the surface reflectance from hyperspectral radiance measurements obtained from air/space borne, hyperspectral imagers such as Hyperion EO-1 or AVIRIS. The new scheme, proposed here, consists of a fast radiative transfer code, based on empirical orthogonal functions (EOFs), in conjunction with a 1D-Var retrieval scheme. The inclusion of an ’exact’ scattering code based on spherical harmonics, allows for an accurate treatment of Rayleigh scattering and scattering by aerosols, water droplets and ice-crystals, thus making it possible to also retrieve cloud and aerosol optical properties, although here we will concentrate on non-cloudy scenes. We successfully tested this new approach using hyperspectral images taken by Hyperion EO-1.Speaker short bio-sketch
Jean-Claude Thelen completed Ph.D at the University in Leeds in Applied Mathematics, studying the solar dynamo. Prior to joining the UK Met Office he worked as a research associate in the Department of Astronomy and Astrophysics at the University of Chicago investigating the generation of small scale magnetic fields and at the University of St. Andrews in Scotland studying the stability of solar prominences. At the Met Office Jean-Claude Thelen was initially developing and maintaining the radiative transfer code within the forecast and climate models before joining the Observational Based Research group where he is now working in radiative transfer and remote sensing.
Jean-Claude Thelen and this seminar are hosted by the EO-1 MSO & Dr. Elizabeth Middleton, NASA/GSFC Code 618