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A New Computational Framework for Atmospheric and Surface Remote SensingA Bayesian data-analysis framework is described for atmospheric and surface retrievals from remotely-sensed hyper-spectral data. Some computational techniques are high- lighted for improved accuracy in the forward physics model.
Document ID
20040086916
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Timucin, Dogan A. (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
September 7, 2013
Publication Date
June 14, 2004
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
Rept-1
Meeting Information
Meeting: NASA Earth Science Technology Conference
Location: Palo Alto, CA
Country: United States
Start Date: June 24, 2004
Sponsors: NASA Headquarters
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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