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Accurate Biomass Estimation via Bayesian Adaptive SamplingThe following concepts were introduced: a) Bayesian adaptive sampling for solving biomass estimation; b) Characterization of MISR Rahman model parameters conditioned upon MODIS landcover. c) Rigorous non-parametric Bayesian approach to analytic mixture model determination. d) Unique U.S. asset for science product validation and verification.
Document ID
20060019232
Acquisition Source
Ames Research Center
Document Type
Other
Authors
Wheeler, Kevin R. (NASA Ames Research Center Moffett Field, CA, United States)
Knuth, Kevin H. (Albany Univ. Albany, NY, United States)
Castle, Joseph P. (EAP Moffett Field, CA, United States)
Lvov, Nikolay (QSS Group, Inc. Moffett Field, CA, United States)
Date Acquired
August 23, 2013
Publication Date
January 1, 2005
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Geophysical Union Meeting
Location: San Francisco, CA
Country: United States
Start Date: December 5, 2005
End Date: December 9, 2005
Sponsors: American Geophysical Union
Distribution Limits
Public
Copyright
Public Use Permitted.

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