Publicaciones en las que colabora con Juan Ramón de la Riva Fernández (10)

2024

  1. An empirical assessment of the potential of post-fire recovery of tree-forest communities in Mediterranean environments

    Forest Ecology and Management, Vol. 552

2023

  1. Assessing GEDI-NASA system for forest fuels classification using machine learning techniques

    International Journal of Applied Earth Observation and Geoinformation, Vol. 116

2021

  1. Assessing the potential of the dart model to discrete return lidar simulation—application to fuel type mapping

    Remote Sensing, Vol. 13, Núm. 3, pp. 1-21

2020

  1. Fuel type classification using airborne laser scanning and sentinel 2 data in mediterranean forest affected by wildfires

    Remote Sensing, Vol. 12, Núm. 21, pp. 1-22

2019

  1. Quantifying forest residual biomass in Pinus halepensis Miller stands using Airborne Laser Scanning data

    GIScience and Remote Sensing, Vol. 56, Núm. 8, pp. 1210-1232

  2. Temporal transferability of pine forest attributes modeling using low-density airborne laser scanning data

    Remote Sensing, Vol. 11, Núm. 3

2018

  1. Estimating forest residual biomass in mediterranean Pinus halepensis forest using low point density ALS data

    International Geoscience and Remote Sensing Symposium (IGARSS)

  2. Estimation of total biomass in Aleppo pine forest stands applying parametric and nonparametric methods to low-density airborne laser scanning data

    Forests, Vol. 9, Núm. 4

2017

  1. Comparison of regression models to estimate biomass losses and CO2 emissions using low-density airborne laser scanning data in a burnt Aleppo pine forest

    European Journal of Remote Sensing, Vol. 50, Núm. 1, pp. 384-396

2016

  1. Estimación de la pérdida de biomasa y de las emisiones de co2 generadas por la combustión de masas forestales de pinus halepensis mill. en el incendio del municipio de Luna (Aragón), mediante datos LIDAR-PNOA.

    Aplicaciones geotecnológicas para el desarrollo económico sostenible: XVII Congreso Nacional de Tecnologías de la Información Geográfica