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Improvement of Spatio-temporal Growth Estimates in Heterogeneous Forests Using Gaussian Bayesian Networks

contributor authorMustafa, Yaseen T.
contributor authorTolpekin, Valentyn /A/.
contributor authorStein, Aaron
date accessioned2020-03-12T18:32:28Z
date available2020-03-12T18:32:28Z
date issued2014
identifier issn0196-2892
identifier other6658867.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/961897?show=full
formatgeneral
languageEnglish
publisherIEEE
titleImprovement of Spatio-temporal Growth Estimates in Heterogeneous Forests Using Gaussian Bayesian Networks
typeJournal Paper
contenttypeMetadata Only
identifier padid7994767
subject keywordsbelief networks
subject keywordsspatiotemporal phenomena
subject keywordsvegetation mapping
subject keywords3PG model
subject keywordsGaussian Bayesian networks
subject keywordsMODIS images
subject keywordsModerate Resolution Imaging Spectroradiometer
subject keywordsNetherlands
subject keywordscanopy foliar area
subject keywordscanopy leaf area index
subject keywordsheterogeneous forests
subject keywordshigh resolution aerial image
subject keywordslinear mixture model
subject keywordsspatiotemporal growth estimates
subject keywordsData models
subject keywordsIndexes
subject keywordsMODIS
subject keywordsMeteorology
subject keywordsSatellites
subject keywordsSpatial resolution
subject keywordsVegetation
subject keywordsGaussian Bayesian networks (GBNs)
subject keywordsModerate Resolution Imaging Spectroradiometer (MODI
identifier doi10.1109/TGRS.2013.2286219
journal titleGeoscience and Remote Sensing, IEEE Transactions on
journal volume52
journal issue8
filesize1388923
citations0


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