Publicaciones en colaboración con investigadores/as de University of Leicester (31)

2023

  1. Past decade above-ground biomass change comparisons from four multi-temporal global maps

    International Journal of Applied Earth Observation and Geoinformation, Vol. 118

2022

  1. Space-based Earth observation in support of the UNFCCC Paris Agreement

    Frontiers in Environmental Science, Vol. 10

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. Burned area detection and mapping: Intercomparison of Sentinel-1 and Sentinel-2 based algorithms over tropical Africa

    Remote Sensing, Vol. 12, Núm. 2

  2. Carbon dynamics in a human-modified tropical forest: A case study using multi-temporal LiDAR data

    Remote Sensing, Vol. 12, Núm. 3

  3. Consistency of satellite climate data records for earth system monitoring

    Bulletin of the American Meteorological Society

  4. Development of a standard database of reference sites for validating global burned area products

    Earth System Science Data, Vol. 12, Núm. 4, pp. 3229-3246

  5. Erratum: 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 (2019) 11:10 (3453-3463) DOI: 10.1109/JSTARS.2018.2868119)

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

  6. Woody aboveground biomass mapping of the brazilian savanna with a multi-sensor and machine learning approach

    Remote Sensing, Vol. 12, Núm. 17

2019

  1. Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa

    Remote Sensing of Environment, Vol. 222, pp. 1-17

  2. Historical background and current developments for mapping burned area from satellite Earth observation

    Remote Sensing of Environment, Vol. 225, pp. 45-64

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. Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies

    Earth System Science Data, Vol. 10, Núm. 4, pp. 2015-2031

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

    International Geoscience and Remote Sensing Symposium (IGARSS)

  4. 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

  5. The use of multifrequency sar data for assessing levels of forest disturbance in Bajo Calima Colombia

    International Geoscience and Remote Sensing Symposium (IGARSS)

  6. Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux

    Remote Sensing of Environment, Vol. 204, pp. 883-897

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