Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables

Finley, Andrew O

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables

Finley, Andrew O

Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables

Finley, Andrew O

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables

Contributors:

Finley, Andrew O (author) / Banerjee, Sudipto / Zhou, Yuzhen / Cook, Bruce D / Babcock, Chad

Published in:

Remote sensing of environment ; 190

Publication date:

2017

ISSN:

DOI:

https://doi.org/10.1016/j.rse.2016.12.004

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Erde , Umweltveränderung , Fernerkundung , Umweltforschung , Umweltüberwachung , Umweltschaden

Classification:

BKL: 43.03 Methoden der Umweltforschung und des Umweltschutzes / 38.03 Methoden und Techniken der Geowissenschaften / 74.41 Luftaufnahmen, Photogrammetrie

Similar titles

Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets

Finley, Andrew O. | Online Contents | 2013

Inverting for Maritime Environments Using Proper Orthogonal Bases From Sparsely Sampled Electromagnetic Propagation Data

Fountoulakis, Vasileios | Online Contents | 2016

Inverting for Maritime Environments Using Proper Orthogonal Bases From Sparsely Sampled Electromagnetic Propagation Data

Fountoulakis, Vasileios | Online Contents | 2016

LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients

Babcock, Chad | Online Contents | 2015

Evolutionary feature selection to estimate forest stand variables using LiDAR

Garcia-Gutierrez, Jorge | Online Contents | 2014