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

Langmore, Ian; Davis, Anthony B.; Bal, Guillaume; Marzouk, Youssef M.

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