Publicacións en colaboración con investigadores/as de Universidade de Santiago de Compostela (28)

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. 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

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

    Forests, Vol. 8, Núm. 8

2016

  1. A preliminary study of the suitability of deep learning to improve LiDAR-derived biomass estimation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

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

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

    European Journal of Remote Sensing, Vol. 49, pp. 185-204

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