Paper
29 January 2002 MATISSE: advanced Earth modeling for imaging and scene simulation
Author Affiliations +
Proceedings Volume 4538, Optics in Atmospheric Propagation and Adaptive Systems IV; (2002) https://doi.org/10.1117/12.454410
Event: International Symposium on Remote Sensing, 2001, Toulouse, France
Abstract
MATISSE is a new atmospheric radiative transfer code currently under development at Onera. Its purpose is to compute background radiance images by taking into account atmospheric, cloud and ground radiation and the variability of atmospheric properties. Propagation is calculated using a Correlated K model (CK) developed at Onera. The spectral range is between 3 to 13 micrometers with a resolution of 5 cm-1. Weather forecast outputs and aerosol climatology are used as inputs to account for spatial variability of atmospheric properties in radiance computations. Partial stratocumulus cloud cover can be generated and the radiation computations use Independent Pixel Approximation (IPA) and Bidirectional Reflectivity Distribution Functions (BRDF). Ground emission and reflectance are computed from spectral emissivities, BRDF and a simple thermal model for the local ground temperature. Databases include a Digital Terrain Elevation (DTED) and a land use database with 30' spatial resolution. Texture models are used to add realistic ground and cloud clutter down to 10 meter resolution. A line-by-line model is included to compute the spectral intensity propagated from high temperature exhaust plumes. Refraction effects are computed, but only along one single line of sight.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierre Simoneau, Roland Berton, Karine Caillault, Gerard Durand, Thierry Huet, Luc Labarre, Claire Malherbe, Christophe Miesch, Antoine Roblin, and Bernard Rosier "MATISSE: advanced Earth modeling for imaging and scene simulation", Proc. SPIE 4538, Optics in Atmospheric Propagation and Adaptive Systems IV, (29 January 2002); https://doi.org/10.1117/12.454410
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KEYWORDS
Atmospheric modeling

Clouds

Atmospheric propagation

Atmospheric particles

Spatial resolution

Absorption

Aerosols

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