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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/61584

    Título
    Comparison of physical-based models to measure forest resilience to fire as a function of burn severity
    Autor
    Fernández Guisuraga, José Manuel
    Suarez Seoane, Susana
    Quintano Pastor, María del CarmenAutoridad UVA Orcid
    Fernández Manso, Alfonso
    Calvo, Leonor
    Año del Documento
    2022
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Remote Sensing, 2022, Vol. 14, Nº. 20, 5138
    Resumen
    We aimed to compare the potential of physical-based models (radiative transfer and pixel unmixing models) for evaluating the short-term resilience to fire of several shrubland communities as a function of their regenerative strategy and burn severity. The study site was located within the perimeter of a wildfire that occurred in summer 2017 in the northwestern Iberian Peninsula. A pre- and post-fire time series of Sentinel-2 satellite imagery was acquired to estimate fractional vegetation cover (FVC) from the (i) PROSAIL-D radiative transfer model inversion using the random forest algorithm, and (ii) multiple endmember spectral mixture analysis (MESMA). The FVC retrieval was validated throughout the time series by means of field data stratified by plant community type (i.e., regenerative strategy). The inversion of PROSAIL-D featured the highest overall fit for the entire time series (R2 > 0.75), followed by MESMA (R2 > 0.64). We estimated the resilience of shrubland communities in terms of FVC recovery using an impact-normalized resilience index and a linear model. High burn severity negatively influenced the short-term resilience of shrublands dominated by facultative seeder species. In contrast, shrublands dominated by resprouters reached pre-fire FVC values regardless of burn severity.
    Materias (normalizadas)
    Fractional vegetation cover
    Spectral mixture analysis
    Espectroscopia
    PROSAIL
    Forest fires
    Bosques - Incendios - Prevención y control
    Wildfires
    Incendio forestal
    Environmental degradation
    Deterioro del medio ambiente
    Forests and forestry
    Bosques y silvicultura
    Materias Unesco
    3307 Tecnología Electrónica
    3308 Ingeniería y Tecnología del Medio Ambiente
    3106.08 Silvicultura
    ISSN
    2072-4292
    Revisión por pares
    SI
    DOI
    10.3390/rs14205138
    Patrocinador
    Ministerio de Economía y Competitividad y Fondo Europeo de Desarrollo Regional (FEDER) - (project AGL2017-86075-C2-1-R)
    Junta de Castilla y León - (project LE005P20)
    British Ecological Society - (project SR22-100154)
    Version del Editor
    https://www.mdpi.com/2072-4292/14/20/5138
    Propietario de los Derechos
    © 2022 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/61584
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • IUGFS - Artículos de revista [140]
    • DEP69 - Artículos de revista [32]
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    Nombre:
    Comparison-of-Physical-Based-Models.pdf
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    1.866Mb
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