E. González-Ferreiro

发表

Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands

M. Tomé, J. Guerra-Hernández, E. González-Ferreiro, 2017 .

Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations

L. Rodriguez, M. Tomé, J. Guerra-Hernández, 2018, International Journal of Remote Sensing.

PpC: a new method to reduce the density of lidar data. Does it affect the DEM accuracy?

E. González-Ferreiro, S. Buján, Miguel Cordero, 2019, The Photogrammetric Record.

Classification of rural landscapes from low-density lidar data: is it theoretically possible?

E. González-Ferreiro, S. Buján, D. Miranda, 2013 .

Using low density LiDAR data to map Mediterranean forest characteristics by means of an area-based approach and height threshold analysis

M. Tomé, J. Guerra-Hernández, E. González-Ferreiro, 2016 .

Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest

Jorge García-Gutiérrez, Juan Guerra-Hernández, Eduardo González-Ferreiro, 2016 .

Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities

Jorge García-Gutiérrez, Eduardo González-Ferreiro, David Miranda, 2013 .

Modelling canopy fuel and forest stand variables and characterizing the influence of thinning in the stand structure using airborne LiDAR

Ana Daría Ruiz-González, Juan Gabriel Álvarez-González, Andrea Hevia, 2016 .

Estimation of stand variables in Pinus radiata D. Don plantations using different LiDAR pulse densities

Eduardo González-Ferreiro, David Miranda, Ulises Diéguez-Aranda, 2012 .

Land Use Classification from Lidar Data and Ortho‐Images in a Rural Area

E. González-Ferreiro, S. Buján, D. Miranda, 2012 .

Modelling canopy fuel variables for Pinus radiata D. Don in NW Spain with low-density LiDAR data

Eduardo González-Ferreiro, Fernando Castedo-Dorado, David Miranda, 2014 .

Modelling the vertical distribution of canopy fuel load using national forest inventory and low-density airbone laser scanning data

Ana Daría Ruiz-González, Juan Gabriel Álvarez-González, Andrea Hevia, 2017, PloS one.

ALICE Collaboration

F. Tosello, James S. Harris, Matthias Rudolph Richter, 2009, Nuclear Physics A.

A mixed pixel- and region-based approach for using airborne laser scanning data for individual tree crown delineation in Pinus radiata D. Don plantations

Eduardo González-Ferreiro, David Miranda, Sandra Buján, 2013 .

Improving silvicultural practices for Mediterranean forests through fire behaviour modelling using LiDAR-derived canopy fuel characteristics

P. Fernandes, J. Guerra-Hernández, E. González-Ferreiro, 2019, International Journal of Wildland Fire.

Accuracy assessment of LiDAR-derived digital elevation models in a rural landscape with complex terrain

Eduardo González-Ferreiro, David Miranda, Sandra Buján, 2016 .

Modeling diameter distributions in radiata pine plantations in Spain with existing countrywide LiDAR data

C. Pérez-Cruzado, E. González-Ferreiro, U. Diéguez-Aranda, 2018, Annals of Forest Science.

Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests

Lana L. Narine, S. Popescu, A. Neuenschwander, 2022, GIScience & Remote Sensing.

The multi-objective Spanish National Forest Inventory

Roberto Vallejo, Vicente Sandoval, E. González-Ferreiro, 2017 .

Short Communication. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal

Eduardo González-Ferreiro, Ramón A. Díaz-Varela, Margarida Tomé, 2016 .

Evolutionary feature selection to estimate forest stand variables using LiDAR

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Eduardo González-Ferreiro, 2014, Int. J. Appl. Earth Obs. Geoinformation.

Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests

Pablo Rodríguez-Gonzálvez, Juan Guerra-Hernández, Eduardo González-Ferreiro, 2021, Remote. Sens..

Predicting Growing Stock Volume of Eucalyptus Plantations Using 3-D Point Clouds Derived from UAV Imagery and ALS Data

J. Guerra-Hernández, E. González-Ferreiro, R. Díaz-Varela, 2019, Forests.

Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data

Ana Daría Ruiz-González, Juan Gabriel Álvarez-González, Juan Guerra-Hernández, 2021 .

Assessing the attributes of high-density Eucalyptus globulus stands using airborne laser scanner data

Eduardo González-Ferreiro, David Miranda, Rafael Crecente, 2011 .

Potential of Sentinel-2A Data to Model Surface and Canopy Fuel Characteristics in Relation to Crown Fire Hazard

Zhiqiang Yang, Ana Daría Ruiz-González, Eduardo González-Ferreiro, 2018, Remote. Sens..

Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data

Ana Daría Ruiz-González, Juan Gabriel Álvarez-González, Juan Guerra-Hernández, 2021, Remote. Sens..

Evaluating the Potential of ALS Data to Increase the Efficiency of Aboveground Biomass Estimates in Tropical Peat-Swamp Forests

Paul Magdon, Christoph Kleinn, Eduardo González-Ferreiro, 2018, Remote. Sens..

Ensemble classification of individual Pinus crowns from multispectral satellite imagery and airborne LiDAR

Christoph Kleinn, Eduardo González-Ferreiro, Collins B. Kukunda, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Modeling diameter distributions in radiata pine plantations in Spain with existing countrywide LiDAR data

C. Pérez-Cruzado, E. González-Ferreiro, U. Diéguez-Aranda, 2018, Annals of Forest Science.

Forest Road Detection Using LiDAR Data and Hybrid Classification

Juan Guerra-Hernández, Eduardo González-Ferreiro, David Miranda, 2021, Remote. Sens..

A user-driven, reduced whole-stand growth model for major hybrid poplar clones in Spain

P. Rodríguez-Gonzálvez, E. González-Ferreiro, Fernando Castedo‐Dorado, 2023, Scandinavian Journal of Forest Research.

A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2011, HAIS.

A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2016, HAIS.

The ALICE Collaboration

J. G. Contreras, Samir R Das, Z. L. Matthews, 2004 .

Comparing Johnson's SB and Weibull Functions to Model the Diameter Distribution of Forest Plantations through ALS Data

Juan Guerra-Hernández, Diogo Nepomuceno Cosenza, Paula Soares, 2019, Remote. Sens..