Publicaciones en colaboración con investigadores/as de Jet Propulsion Lab (17)

2022

  1. Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

    Remote Sensing of Environment, Vol. 270

  2. Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data

    Remote Sensing of Environment, Vol. 268

2021

  1. Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 172, pp. 79-94

2020

  1. Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach

    Remote Sensing of Environment, Vol. 247

2019

  1. Forest degradation and biomass loss along the Chocó region of Colombia

    Carbon Balance and Management, Vol. 14, Núm. 1

2018

  1. A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, Núm. 10, pp. 3453-3463

  2. Carbon storage potential in degraded forests of Kalimantan, Indonesia

    Environmental Research Letters, Vol. 13, Núm. 9

  3. Comparison of Small-and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study from Central Gabon

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, Núm. 10, pp. 3512-3526

  4. Machine-learning fusion of PolSAR and LiDAR data for tropical forest canopy height estimation

    International Geoscience and Remote Sensing Symposium (IGARSS)

  5. Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery

    International Journal of Applied Earth Observation and Geoinformation, Vol. 66, pp. 159-173

2017

  1. Extrapolating forest canopy fuel properties in the California Rim fire by combining airborne LiDAR and landsat OLI data

    Remote Sensing, Vol. 9, Núm. 4

  2. Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR

    Carbon Balance and Management, Vol. 12, Núm. 1

  3. Impacts of airborne lidar pulse density on estimating biomass stocks and changes in a selectively logged tropical forest

    Remote Sensing, Vol. 9, Núm. 10

  4. Predicting stem total and assortment volumes in an industrial Pinus taeda L. forest plantation using airborne laser scanning data and random forest

    Forests, Vol. 8, Núm. 7

  5. Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data

    Journal of Geophysical Research: Biogeosciences, Vol. 122, Núm. 2, pp. 340-353

2016

  1. Burned forest characterization at single-tree level with airborne laser scanning for assessing wildlife habitat

    Remote Sensing of Environment, Vol. 175, pp. 231-241

  2. Canopy structural attributes derived from AVIRIS imaging spectroscopy data in a mixed broadleaf/conifer forest

    Remote Sensing of Environment, Vol. 182, pp. 208-226