Observatorio de I+D+i UPM
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RESEARCHERS
RDI STRUCTURES
RESEARCH ACTIVITIES
INNOVATION
Investigador
Rubén Valbuena Puebla
Researcher Category
CONTRATADO DE INVESTIGACION (OTROS)
UPM Centre
E.T.S. DE INGENIEROS DE MONTES
Department:
ECONOMIA Y GESTION FORESTAL
Knowledge Area
SIN AREA DE CONOCIMIENTO
Research Group:
Sin grupo de investigación
Research Reports
Proyectos de I+D+i y generación de recursos
3 Proyectos de I+D+i
1: (2009)
AYUDAS PARA LA CONTRATACION DE PERSONAL TECNICO DE APOYO DE RUBEN VALBUENA PUEBLA
2: (2010)
DESARROLLO DE NUEVOS PROTOCOLOS DE INTEGRACION DE SENSORES LIDAR, CAMARA DIGITAL, IR CERCANO E HIPERESPECTRAL
3: (2010)
MODELIZACION ESPACIAL A DISTINTAS ESCALAS, DE VARIABLES DASOMETRICAS Y CAMBIOS EN LA CUBIERTA FORESTAL, A PARTIR DE SENORES LIDAR Y MULTIESPRECTRALES
Formación de Investigadores y Movilidad
3 Estancias y sabáticos recogidos en programas oficiales
1: (2009)
Beca del Consejo Social de la U.P.M. para estudiantes de Doctorado. Estancia en Forest research Agency of the Forestry Commision, Northern Research Station, Edinburgo, Reino Unido.
2: (2010)
Beca para la realización de doctorado de Metsahallitus, Ministerio Forestal de Finlandia. Fundación para la investigación Forestal en Europa (FEFR).
3: (2016)
Classification of Forest Structural Types with LiDAR remote sensing applied to study tree size-density scaling theories
1 Tesis Doctorales
1: (2013)
Optimizing Geometric Accuracy in Data Source Integration for Airborne Laser Scanning-based Forest Inventory Projects.
Difusión de Resultados de Investigación
18 Artículos en revistas
1: (2010)
Accuracy and precision of GPS receivers under forest canopies in a mountainous environment
2: (2010)
Accuracy and precision of GPS receivers under forest canopies in a mountainous environment
3: (2010)
Forest canopy height retrieval using Lidar data, medium-resolution satellite imagery and kNN estimation in Aberfoyle, Scotland
4: (2011)
Comparing airborne laser scanning-imagery fusion methods based on geometric accuracy in forested areas
5: (2011)
Influence of Global Navigation Satellite System errors in positioning inventory plots for tree-height distribution studies
6: (2012)
Diversity and Equitability Ordering Profiles Applied to the Study of Forest Structure
7: (2014)
Canonical Correlation Analysis for Interpreting Airborne Laser Scanning Metrics along the Lorenz Curve of Tree Size Inequality
8: (2014)
Comparison of Airborne Laser Scanning Methods for Estimating Forest Structure Indicators Based on Lorenz Curves
9: (2015)
How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale.
10: (2015)
Mapping wood production in European forests.
11: (2016)
Classification of Forest Development Stages from National Low-Density Lidar Datasets: a Comparison of Machine Learning Methods
12: (2016)
Classification of Multi-Layered Forest Development Classes from Low-Density National Airborne Lidar Datasets
13: (2016)
Contrasting Fire Susceptibility and Fire Damage Between Seasonally Flooded Forest and Upland Forest in the Central Amazon Using Portable Terrestrial Profiling Lidar
14: (2016)
Gini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure
15: (2016)
Sensitivity of Above-Ground Biomass Estimates to Height-Diameter Modelling in Mixed-Species West African Woodlands.
16: (2017)
Key Structural Features of Boreal Forests May Be Detected Directly Using L-Moments from Airborne Lidar Data
17: (2017)
Most similar neighbor imputation of forest attributes using metrics derived from combined airborne LIDAR and multispectral sensors.
18: (2017)
Remote Sensing Approach for Spatial Planning of Land Management Interventions in West African Savannas
3 Capítulos de libros
1: (2014)
Integrating airborne laser scanning with data from global navigation satellite systems and optical sensors.
2: (2016)
Criteria and Indicators of Sustainable Forest Management.
3: (2016)
Inventory of biomass and forest resources.
2 Conferencias invitadas en congresos
1: (2012)
Cartography of uncertainty of predicted forest variables estimated from ALS data
2: (2012)
FUSENSOR: a tool for combining airborne optical and laser sensors with back-projecting technique
1 Informes para las AAPP o sus organismos dependientes
1: (2009)
Mapping of Woodland Priority Habitats
1 Libros
1: (2010)
SILVANET: Participación pública para la Gestión Forestal Sostenible.
12 Ponencia en Congresos
1: (2009)
GPS Admissible Errors in Positioning Inventory Plots for Forest Structure Studies
2: (2010)
A Mixed Pixel-Object Approach for Mapping Priority Habitats Using IRS-LISS III Imagery and Ancillary Data
3: (2012)
Relations between Airborne Laser Scanning-metrics and Lorenz curve descriptors for forest structure characterization
4: (2012)
Uncertainty of mean values of forest variables, calculated combining field plots and ALS data for a 300 ha area. Estimation of possibilities for field work reduction.
5: (2013)
Influencia de los errores de posicionamiento GNSS en la estimación de variables dasométricas medias a partir de datos LiDAR.
6: (2014)
Why Lorenz Ordering Applies to Airborne Laser Scanning Remote Sensing of Forests?
7: (2015)
Integrating remotely sensed data and biodiversity for ecosystem assessments
8: (2015)
Modeling forest bird habitats and biodiversity with airborne laser scanning data
9: (2015)
Unravelling forest structure change over forested landscapes with Lidar and Gini coefficient
10: (2016)
Multivariate imputation of stand structure attributes using back-projected ALS and optical sensor metrics.
11: (2016)
Multivariate imputation of stand structure attributes using back-projected ALS and optical sensor metrics.
12: (2017)
Calculating Site Index with Airborne Laser Scanning data
Explotación de Resultados y Transferencia de Tecnología
2 Registros de Software
1: (2010)
Silvanet. Participación pública para la Gestión Forestal Sostenible. (Programa de ordenador).
2: (2013)
FUSENSOR: Programa de ordenador para fusión de datos de sensores LIDAR y multiespectral de matriz CCD por método de retroproyección.
• TOMA DE DATOS DE MEMORIAS Y CV
• UPM.ES
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)
