Publicaciones en colaboración con investigadores/as de Universidade de Trás-os-Montes e Alto Douro (21)

2023

  1. Caution is needed across Mediterranean ecosystems when interpreting wall-to-wall fire severity estimates based on spectral indices

    Forest Ecology and Management, Vol. 546

  2. Characterization of biophysical contexts leading to severe wildfires in Portugal and their environmental controls

    Science of the Total Environment, Vol. 875

  3. Drivers and Trends in the Size and Severity of Forest Fires Endangering WUI Areas: A Regional Case Study

    Forests, Vol. 14, Núm. 12

  4. Estimates of fine fuel litter biomass in the northern Great Basin reveal increases during short fire-free intervals associated with invasive annual grasses

    Science of the Total Environment, Vol. 860

  5. First evaluation of fire severity retrieval from PRISMA hyperspectral data

    Remote Sensing of Environment, Vol. 295

  6. Fractional vegetation cover ratio estimated from radiative transfer modeling outperforms spectral indices to assess fire severity in several Mediterranean plant communities

    Remote Sensing of Environment, Vol. 290

  7. Fuel build-up promotes an increase in fire severity of reburned areas in fire-prone ecosystems of the western Mediterranean Basin

    Fire Ecology, Vol. 19, Núm. 1

  8. Relevance of UAV and sentinel-2 data fusion for estimating topsoil organic carbon after forest fire

    Geoderma, Vol. 430

  9. Short-term responses of ecosystem multifunctionality to fire severity are modulated by fire-induced impacts on plant and soil microbial communities

    Science of the Total Environment, Vol. 898

  10. The Effects of Fire Severity on Vegetation Structural Complexity Assessed Using SAR Data Are Modulated by Plant Community Types in Mediterranean Fire-Prone Ecosystems

    Fire, Vol. 6, Núm. 12

  11. The footprint of large wildfires on the multifunctionality of fire-prone pine ecosystems is driven by the interaction of fire regime attributes

    Fire Ecology, Vol. 19, Núm. 1

  12. Unmixing PRISMA hyperspectral images by Multiple Endmember Spectral Mixture Analysis (MESMA) to assess fire severity in Mediterranean forest ecosystems

    Proceedings of SPIE - The International Society for Optical Engineering

  13. Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal

    Remote Sensing, Vol. 15, Núm. 3

  14. Vegetation recovery drivers at short-term after fire are plant community-dependent in mediterranean burned landscapes

    Forest Ecology and Management, Vol. 539

  15. Wildland-urban interface typologies prone to high severity fires in Spain

    Science of the Total Environment, Vol. 894