A platform for research: civil engineering, architecture and urbanism
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets
Finley, Andrew O. (author) / Banerjee, Sudipto / Cook, Bruce D. / Bradford, John B.
2013
Article (Journal)
English
Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest
Online Contents | 2008
|Fusion of waveform LiDAR data and hyperspectral imagery for land cover classification
Online Contents | 2015
|Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables
Online Contents | 2017
|