Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets.
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%0 Journal Article
%1 journals/aeog/FinleyBCB13
%A Finley, Andrew O.
%A Banerjee, Sudipto
%A Cook, Bruce D.
%A Bradford, John B.
%D 2013
%J Int. J. Appl. Earth Obs. Geoinformation
%K dblp
%P 147-160
%T Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets.
%U http://dblp.uni-trier.de/db/journals/aeog/aeog22.html#FinleyBCB13
%V 22
@article{journals/aeog/FinleyBCB13,
added-at = {2020-02-20T00:00:00.000+0100},
author = {Finley, Andrew O. and Banerjee, Sudipto and Cook, Bruce D. and Bradford, John B.},
biburl = {https://www.bibsonomy.org/bibtex/25ed54151fdc5125d8233aed1b574dad2/dblp},
ee = {https://www.wikidata.org/entity/Q59853733},
interhash = {58cfd8ad464c6d0be82c3bb988594c59},
intrahash = {5ed54151fdc5125d8233aed1b574dad2},
journal = {Int. J. Appl. Earth Obs. Geoinformation},
keywords = {dblp},
pages = {147-160},
timestamp = {2020-02-21T12:45:08.000+0100},
title = {Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets.},
url = {http://dblp.uni-trier.de/db/journals/aeog/aeog22.html#FinleyBCB13},
volume = 22,
year = 2013
}
