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Parametric 3D atmospheric reconstruction in highly variable terrain with recycled Monte Carlo paths & an Adapted Bayesian Inference Engine

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dc.contributor.author Langmore, Ian
dc.contributor.author Davis, Anthony B.
dc.contributor.author Bal, Guillaume
dc.contributor.author Marzouk, Youssef M.
dc.date.accessioned 2013-06-17T13:36:12Z
dc.date.available 2013-06-17T13:36:12Z
dc.date.issued 2012-08-06
dc.identifier.citation International Radiation Symposium, WMO, Berlin, Germany, August 6-10, 2012. en_US
dc.identifier.clearanceno 12-3352
dc.identifier.uri http://hdl.handle.net/2014/43269
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012. en_US
dc.subject remote sensting en_US
dc.subject aerosal scattering en_US
dc.subject surface reflection en_US
dc.subject 3D radiative transfer en_US
dc.subject Bayesian retrieval en_US
dc.title Parametric 3D atmospheric reconstruction in highly variable terrain with recycled Monte Carlo paths & an Adapted Bayesian Inference Engine en_US
dc.type Presentation en_US
dc.subject.NASATaxonomy Statistics and Probability en_US


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