Publicacions en col·laboració amb investigadors/es de Universidad de Valladolid (14)

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

  2. Canopy Structural Changes in Black Pine Trees Affected by Pine Processionary Moth Using Drone-Derived Data

    Drones, Vol. 8, Núm. 3

  3. Long-term annual estimation of forest above ground biomass, canopy cover, and height from airborne and spaceborne sensors synergies in the Iberian Peninsula

    Environmental Research, Vol. 259

  4. Pine processionary moth outbreaks and droughts have different tree ring signatures in Mediterranean pines

    Dendrochronologia, Vol. 85

  5. Summer heat waves could counterbalance the increasing incidence of pine processionary due to warmer winters in Mediterranean pine forests

    Forest Ecology and Management, Vol. 555

2023

  1. Advances in Vegetation Structure Modelling Using Remote Sensing to Support the Acquisition of Sustainable Development Goals through Forest Management

    Remote Sensing

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

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

  3. Assessing the Efficacy of Phenological Spectral Differences to Detect Invasive Alien Acacia dealbata Using Sentinel-2 Data in Southern Europe

    Remote Sensing, Vol. 15, Núm. 3

  4. Assessment of Oak Groves Conservation Statuses in Natura 2000 Sacs with Single Photon Lidar and Sentinel-2 Data

    Remote Sensing, Vol. 15, Núm. 3

  5. Long-term changes in 3D urban form in four Spanish cities

    Landscape and Urban Planning, Vol. 230

2022

  1. Integrating strategic planning intentions into land-change simulations: Designing and assessing scenarios for Bucharest

    Sustainable Cities and Society, Vol. 76

  2. Long-term monitoring of NDVI changes by remote sensing to assess the vulnerability of threatened plants

    Biological Conservation, Vol. 265

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