JOSÉ MANUEL FERNÁNDEZ GUISURAGA-rekin lankidetzan egindako argitalpenak (23)

2024

  1. FIREMAP: Cloud-based software to automate the estimation of wildfire-induced ecological impacts and recovery processes using remote sensing techniques

    Ecological Informatics, Vol. 81

  2. Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models

    Remote Sensing, Vol. 16, Núm. 2

  3. Linking crown fire likelihood with post-fire spectral variability in Mediterranean fire-prone ecosystems

    International Journal of Wildland Fire , Vol. 33, Núm. 4

  4. Manual de usuario FIREMAP: software para el análisis y toma de decisiones en la gestiónpost-incendio

    Universidad de León

  5. Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces

    Science of the Total Environment, Vol. 940

  6. 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. 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

  4. 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

2022

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

    Remote Sensing, Vol. 14, Núm. 20

  2. 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

2021

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

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

  2. 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

  3. Vegetation structure parameters determine high burn severity likelihood in different ecosystem types: A case study in a burned Mediterranean landscape

    Journal of Environmental Management, Vol. 288

  4. Wildfires impact on ecosystem service delivery in fire-prone maritime pine-dominated forests

    Ecosystem Services, Vol. 50

2019

  1. Assessment of the influence of biophysical properties related to fuel conditions on fire severity using remote sensing techniques: A case study on a large fire in NW Spain

    International Journal of Wildland Fire, Vol. 28, Núm. 7, pp. 512-520

  2. Environmental drivers of fire severity in extreme fire events that affect Mediterranean pine forest ecosystems

    Forest Ecology and Management, Vol. 433, pp. 24-32

  3. Evaluation and comparison of Landsat 8, Sentinel-2 and Deimos-1 remote sensing indices for assessing burn severity in Mediterranean fire-prone ecosystems

    International Journal of Applied Earth Observation and Geoinformation, Vol. 80, pp. 137-144

  4. Using Unmanned Aerial Vehicles (UAV) for forest damage monitoring in south-western Europe

    Proceedings of SPIE - The International Society for Optical Engineering