INGENIERÍA Y CIENCIAS AGRARIAS
Departamento
JOSÉ MANUEL
FERNÁNDEZ GUISURAGA
PROFESOR AYUDANTE DOCTOR
Publicaciones en las que colabora con JOSÉ MANUEL FERNÁNDEZ GUISURAGA (23)
2024
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FIREMAP: Cloud-based software to automate the estimation of wildfire-induced ecological impacts and recovery processes using remote sensing techniques
Ecological Informatics, Vol. 81
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Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
Remote Sensing, Vol. 16, Núm. 2
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Linking crown fire likelihood with post-fire spectral variability in Mediterranean fire-prone ecosystems
International Journal of Wildland Fire , Vol. 33, Núm. 4
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Manual de usuario FIREMAP: software para el análisis y toma de decisiones en la gestiónpost-incendio
Universidad de León
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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
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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
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Consejos de Gestión Forestal en el marco de los incendios forestales
Universidad de León
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First evaluation of fire severity retrieval from PRISMA hyperspectral data
Remote Sensing of Environment, Vol. 295
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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
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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
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Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
Remote Sensing, Vol. 14, Núm. 20
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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
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Mapping soil burn severity at very high spatial resolution from unmanned aerial vehicles
Forests, Vol. 12, Núm. 2, pp. 1-15
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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
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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
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Wildfires impact on ecosystem service delivery in fire-prone maritime pine-dominated forests
Ecosystem Services, Vol. 50
2019
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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
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Environmental drivers of fire severity in extreme fire events that affect Mediterranean pine forest ecosystems
Forest Ecology and Management, Vol. 433, pp. 24-32
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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
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Using Unmanned Aerial Vehicles (UAV) for forest damage monitoring in south-western Europe
Proceedings of SPIE - The International Society for Optical Engineering