Ruben Valbuena
Nature and Landscape Conservation · 2012–2017
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 42 citations into it; #3,875 of 6,941 by trust here, #5,887 by citations
- Environmental Engineering — 29 citations into it
- Insect Science — 24 citations into it
- Global and Planetary Change — 13 citations into it
- Statistics and Probability — 8 citations into it
- Plant Science — 5 citations into it
Whom Ruben Valbuena trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Næsset
- Christian Damgaard
- Petteri Packalen
- G. Duduman
- Matti Maltamo
- M. Hill
- Eric R. Ziegel
- Achim Zeileis
- J. Weiner
- Francisco Cribari‐Neto
Who trusts Ruben Valbuena overall
Papers from Ruben Valbuena's perspective
Ordered by how strongly the researchers Ruben Valbuena trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
- Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
- 3D segmentation of single trees exploiting full waveform LIDAR data
- Random Forests
- DEM Generation from Laser Scanner Data Using Adaptive TIN Models
- Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data
- Predicting individual tree attributes from airborne laser point clouds based on the random forests technique
- Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data
- Beta Regression in R
- A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach
Their papers
- Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data (2017) — 73 citations
- Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves (2014) — 52 citations
- Characterizing forest structural types and shelterwood dynamics from Lorenz-based indicators predicted by airborne laser scanning (2013) — 62 citations
- Diversity and equitability ordering profiles applied to study forest structure (2012) — 99 citations