Browsing Faculty of Natural Sciences by Subject "Bayesian hierarchical modelling"
Now showing items 1-2 of 2
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Landsat-8 and sentinel-2 based prediction of forest plantation c stock using spatially varying coefficient Bayesian hierarchical models
(MDPI, 2022)This study sought to establish the performance of Spatially Varying Coefficient (SVC) Bayesian Hierarchical models using Landsat-8, and Sentinel-2 derived auxiliary information in predicting plantation forest carbon (C) ... -
Landsat-8 and sentinel-2 based prediction of forest plantation c stock using spatially varying coefficient bayesian hierarchical models
(Remote Sensing, 2022)This study sought to establish the performance of Spatially Varying Coefficient (SVC) Bayesian Hierarchical models using Landsat-8, and Sentinel-2 derived auxiliary information in predicting plantation forest carbon (C) ...