Publications in collaboration with researchers from University of California, Davis (20)

2020

  1. A live fuel moisture content product from landsat TM satellite time series for implementation in fire behavior models

    Remote Sensing, Vol. 12, Núm. 11

  2. Estimation of canopy gap fraction from terrestrial laser scanner using an angular grid to take advantage of the full data spatial resolution

    Remote Sensing, Vol. 12, Núm. 10

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

    Remote Sensing of Environment, Vol. 247

2019

  1. Author Correction: Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications (Scientific Data, (2019), 6, 1, (155), 10.1038/s41597-019-0164-9)

    Scientific Data

  2. Discrimination of canopy structural types in the Sierra Nevada Mountains in central California

    Remote Sensing, Vol. 11, Núm. 9

  3. Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications

    Scientific Data

2018

  1. Improving the performance of 3-D radiative transfer model FLIGHT to simulate optical properties of a tree-grass ecosystem

    Remote Sensing, Vol. 10, Núm. 12

  2. 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. 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

2015

  1. An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion

    Neurocomputing, Vol. 163, pp. 17-24

  2. Canopy clumping appraisal using terrestrial and airborne laser scanning

    Remote Sensing of Environment, Vol. 161, pp. 78-88

  3. Terrestrial lidar remote sensing of forests: Maximum likelihood estimates of canopy profile, leaf area index, and leaf angle distribution

    Agricultural and Forest Meteorology, Vol. 209-210, pp. 100-113

2012

  1. Characterization of canopy fuels using ICESat/GLAS data

    Remote Sensing of Environment, Vol. 123, pp. 81-89

2011

  1. Multispectral and LiDAR data fusion for fuel type mapping using Support Vector Machine and decision rules

    Remote Sensing of Environment, Vol. 115, Núm. 6, pp. 1369-1379

  2. Terrestrial laser scanning to estimate plot-level forest canopy fuel properties

    International Journal of Applied Earth Observation and Geoinformation, Vol. 13, Núm. 4, pp. 636-645

2010

  1. Estimating biomass carbon stocks for a Mediterranean forest in central Spain using LiDAR height and intensity data

    Remote Sensing of Environment, Vol. 114, Núm. 4, pp. 816-830