Publicacións nas que colabora con EDUARDO MANUEL GONZALEZ FERREIRO (31)

2021

  1. 3d point clouds in forest remote sensing

    Remote Sensing

  2. 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

  3. 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

  4. Forest road detection using LiDAR data and hybrid classification

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

2019

  1. 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

  2. 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

  3. 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. 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

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

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

  4. 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. 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

  3. The multi-objective Spanish National Forest Inventory

    Forest systems, Vol. 26, Núm. 2

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

    Forests, Vol. 8, Núm. 8

2016

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

    Journal of Applied Remote Sensing, Vol. 10, Núm. 1

  2. Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado

    Revista de teledetección: Revista de la Asociación Española de Teledetección, Núm. 45, pp. 41-55

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

    Forest systems, Vol. 25, Núm. 2

2014

  1. Evolutionary feature selection to estimate forest stand variables using LiDAR

    International Journal of Applied Earth Observation and Geoinformation, Vol. 26, Núm. 1, pp. 119-131

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

    International Journal of Wildland Fire, Vol. 23, Núm. 3, pp. 350-362