Ruben Valbuena
Ruben Valbuena
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Cited by
Cited by
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
L Duncanson, JR Kellner, J Armston, R Dubayah, DM Minor, S Hancock, ...
Remote Sensing of Environment 270, 112845, 2022
Monitoring the structure of forest restoration plantations with a drone-lidar system
DRA Almeida, EN Broadbent, AMA Zambrano, BE Wilkinson, ME Ferreira, ...
International Journal of Applied Earth Observation and Geoinformation 79 …, 2019
Accuracy and precision of GPS receivers under forest canopies in a mountainous environment
R Valbuena, F Mauro, R Rodriguez-Solano, JA Manzanera
Spanish Journal of Agricultural Research 8 (4), 1047-1057, 2010
Diversity and equitability ordering profiles applied to study forest structure
R Valbuena, P Packalén, S Martı, M Maltamo
Forest Ecology and Management 276, 185-195, 2012
The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration
DRA Almeida, SC Stark, R Chazdon, BW Nelson, RG César, P Meli, ...
Forest Ecology and Management 438, 34-43, 2019
Standardizing ecosystem morphological traits from 3D information sources
R Valbuena, B O’Connor, F Zellweger, W Simonson, P Vihervaara, ...
Trends in Ecology & Evolution 35 (8), 656-667, 2020
Mapping wood production in European forests
PJ Verkerk, C Levers, T Kuemmerle, M Lindner, R Valbuena, PH Verburg, ...
Forest Ecology and Management 357, 228-238, 2015
Optimizing the remote detection of tropical rainforest structure with airborne lidar: Leaf area profile sensitivity to pulse density and spatial sampling
DRA Almeida, SC Stark, G Shao, J Schietti, BW Nelson, CA Silva, ...
Remote Sensing 11 (1), 92, 2019
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion
DRA De Almeida, EN Broadbent, MP Ferreira, P Meli, AMA Zambrano, ...
Remote Sensing of Environment 264, 112582, 2021
Concerns about reported harvests in European forests
M Palahí, R Valbuena, C Senf, N Acil, TAM Pugh, J Sadler, R Seidl, ...
Nature 592 (7856), E15-E17, 2021
Characterizing forest structural types and shelterwood dynamics from Lorenz-based indicators predicted by airborne laser scanning
R Valbuena, P Packalen, L Mehtätalo, A García-Abril, M Maltamo
Canadian Journal of Forest Research 43 (11), 1063-1074, 2013
Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data
R Valbuena, M Maltamo, L Mehtätalo, P Packalen
Remote Sensing of Environment 194, 437-446, 2017
Remote sensing for the Spanish forests in the 21st century: A review of advances, needs, and opportunities
C Gómez, P Alejandro, T Hermosilla, F Montes, C Pascual, ...
Forest systems 28 (1), 1-33, 2019
How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale
P Vihervaara, L Mononen, AP Auvinen, R Virkkala, Y Lü, I Pippuri, ...
Landscape Ecology 30, 501-516, 2015
The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
D Schepaschenko, J Chave, OL Phillips, SL Lewis, SJ Davies, ...
Scientific data 6 (1), 198, 2019
Modeling Mediterranean forest structure using airborne laser scanning data
F Bottalico, G Chirici, R Giannini, S Mele, M Mura, M Puxeddu, ...
International journal of applied earth observation and geoinformation 57 …, 2017
Contrasting fire damage and fire susceptibility between seasonally flooded forest and upland forest in the Central Amazon using portable profiling LiDAR
DRA De Almeida, BW Nelson, J Schietti, EB Gorgens, AF Resende, ...
Remote Sensing of Environment 184, 153-160, 2016
ForestGapR: An r Package for forest gap analysis from canopy height models
CA Silva, R Valbuena, ER Pinagé, M Mohan, DRA de Almeida, ...
Methods in Ecology and Evolution 10 (8), 1347-1356, 2019
Forest canopy height retrieval using LiDAR data, medium-resolution satellite imagery and kNN estimation in Aberfoyle, Scotland
DO Mcinerney, J Suarez-Minguez, R Valbuena, M Nieuwenhuis
Forestry 83 (2), 195-206, 2010
Gini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure
R Valbuena, K Eerikäinen, P Packalen, M Maltamo
Ecological indicators 60, 574-585, 2016
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Articles 1–20