Susana Suárez Seoane-rekin lankidetzan egindako argitalpenak (59)

2024

  1. Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain

    FIRE ECOLOGY, Vol. 20, Núm. 1

  2. Integrating Physical-Based Models and Structure-from-Motion Photogrammetry to Retrieve Fire Severity by Ecosystem Strata from Very High Resolution UAV Imagery

    Fire, Vol. 7, Núm. 9

  3. Plant fire-adaptive traits mediate long-term fire recurrence impact on the potential supply capacity of ecosystem services and their resilience

    Journal of Environmental Management, Vol. 365

2023

  1. Consejos de Gestión Forestal en el marco de los incendios forestales

    Universidad de León

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

    Remote Sensing of Environment, Vol. 295

  3. Radar and multispectral remote sensing data accurately estimate vegetation vertical structure diversity as a fire resilience indicator

    Remote Sensing in Ecology and Conservation, Vol. 9, Núm. 1, pp. 117-132

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

    Geoderma, Vol. 430

  5. Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring

    Remote Sensing

  6. Renaturalización pasiva en la Cordillera Cantábrica: bases y retos científicos para una sostenibilidad socio-ecológica

    Ecosistemas: Revista científica y técnica de ecología y medio ambiente, Vol. 32, Núm. 1

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

    Science of the Total Environment, Vol. 894

2022

  1. ALOS-2 L-band SAR backscatter data improves the estimation and temporal transferability of wildfire effects on soil properties under different post-fire vegetation responses

    Science of the Total Environment, Vol. 842

  2. Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity

    Remote Sensing, Vol. 14, Núm. 20

  3. Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems

    Remote Sensing in Ecology and Conservation, Vol. 8, Núm. 1, pp. 57-71

  4. Monitoring post-fire neighborhood competition effects on pine saplings under different environmental conditions by means of UAV multispectral data and structure-from-motion photogrammetry

    Journal of Environmental Management, Vol. 305

  5. Pre-fire aboveground biomass, estimated from LiDAR, spectral and field inventory data, as a major driver of burn severity in maritime pine (Pinus pinaster) ecosystems

    Forest Ecosystems, Vol. 9

  6. Short-Term Recovery of the Aboveground Carbon Stock in Iberian Shrublands at the Extremes of an Environmental Gradient and as a Function of Burn Severity

    Forests, Vol. 13, Núm. 2

2021

  1. Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire

    Remote Sensing of Environment, Vol. 255

  2. Mapping soil burn severity at very high spatial resolution from unmanned aerial vehicles

    Forests, Vol. 12, Núm. 2, pp. 1-15

  3. Multiple endmember spectral mixture analysis (Mesma) applied to the study of habitat diversity in the fine-grained landscapes of the cantabrian mountains

    Remote Sensing, Vol. 13, Núm. 5, pp. 1-19

  4. Physiological and regenerative plant traits explain vegetation regeneration under different severity levels in mediterranean fire-prone ecosystems

    Forests, Vol. 12, Núm. 2, pp. 1-15