Eduardo González-Ferreiro

Orcid: 0000-0002-4565-2155

According to our database1, Eduardo González-Ferreiro authored at least 12 papers between 2011 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Supporting fire behavior modelling with canopy base height and canopy bulk density estimates using airborne and spaceborne lidar.
Ecol. Informatics, 2026

2021
Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests.
Remote. Sens., 2021

3D Point Clouds in Forest Remote Sensing.
Remote. Sens., 2021

Forest Road Detection Using LiDAR Data and Hybrid Classification.
Remote. Sens., 2021

Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data.
Remote. Sens., 2021

2019
Comparing Johnson's SB and Weibull Functions to Model the Diameter Distribution of Forest Plantations through ALS Data.
Remote. Sens., 2019

2018
Evaluating the Potential of ALS Data to Increase the Efficiency of Aboveground Biomass Estimates in Tropical Peat-Swamp Forests.
Remote. Sens., 2018

Potential of Sentinel-2A Data to Model Surface and Canopy Fuel Characteristics in Relation to Crown Fire Hazard.
Remote. Sens., 2018

Ensemble classification of individual Pinus crowns from multispectral satellite imagery and airborne LiDAR.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2016
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2014
Evolutionary feature selection to estimate forest stand variables using LiDAR.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2011
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011


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