Argitalpenak (44) EDUARDO MANUEL GONZÁLEZ FERREIRO argitalpenak

2023

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

    Scandinavian Journal of Forest Research, Vol. 38, Núm. 5, pp. 329-343

2022

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

    GIScience and Remote Sensing, Vol. 59, Núm. 1, pp. 1509-1533

2021

  1. 3d point clouds in forest remote sensing

    Remote Sensing

  2. Assessing the accuracy of gedi data for canopy height and aboveground biomass estimates in mediterranean forests

    Remote Sensing, Vol. 13, Núm. 12

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

    Forest Ecology and Management, Vol. 481

  4. 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 Sensing, Vol. 13, Núm. 24

  5. Forest road detection using LiDAR data and hybrid classification

    Remote Sensing, Vol. 13, Núm. 3, pp. 1-36

2019

  1. Comparing Johnson's SB and weibull functions to model the diameter distribution of forest plantations through ALS data

    Remote Sensing, Vol. 11, Núm. 23

  2. Estimación de la distribución vertical de combustibles finos del dosel de copas en masas de Pinus sylvestris empleando datos LiDAR de baja densidad

    Revista de teledetección: Revista de la Asociación Española de Teledetección, Núm. 53, pp. 1-16

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

    International Journal of Wildland Fire, Vol. 28, Núm. 11, pp. 823-839

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

    Photogrammetric Record, Vol. 34, Núm. 167, pp. 304-329

  5. Predicting growing stock volume of eucalyptus plantations using 3-D point clouds derived from UAV imagery and ALS data

    Forests, Vol. 10, Núm. 10

2018

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

    International Journal of Remote Sensing, Vol. 39, Núm. 15-16, pp. 5211-5235

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

    International Journal of Applied Earth Observation and Geoinformation, Vol. 65, pp. 12-23

  3. Evaluating the potential of ALS data to increase the efficiency of aboveground biomass estimates in tropical peat-swamp forests

    Remote Sensing, Vol. 10, Núm. 9

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

    Annals of Forest Science, Vol. 75, Núm. 2

  5. Potential of Sentinel-2A data to model surface and canopy fuel characteristics in relation to crown fire hazard

    Remote Sensing, Vol. 10, Núm. 10

2017

  1. Estimación de las existencias maderables de Pinus radiata a escala provincial utilizando datos LiDAR de baja resolución

    Bosque, Vol. 38, Núm. 1, pp. 17-28

  2. Impact of plot size and model selection on forest biomass estimation using airborne LiDAR: A case study of pine plantations in southern Spain

    Journal of Forest Science, Vol. 63, Núm. 2, pp. 88-97

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

    PLoS ONE, Vol. 12, Núm. 4