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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/72416

    Título
    Evaluation and comparison of Landsat 8, Sentinel-2 and Deimos-1 remote sensing indices for assessing burn severity in Mediterranean fire-prone ecosystems
    Autor
    García Llamas, Paula
    Suárez Seoane, Susana
    Fernández Guisuraga, José Manuel
    Fernández García, Victor
    Fernández Manso, Alfonso
    Quintano Pastor, María del CarmenAutoridad UVA Orcid
    Taboada, Angela
    Marcos, Elena
    Calvo, Leonor
    Año del Documento
    2019
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    International Journal of Applied Earth Observation and Geoinformation, 2019, vol. 80, p. 137-144.
    Resumen
    The development of improved spatial and spectral resolution sensors provides new opportunities to assess burn severity more accurately. This study evaluates the ability of remote sensing indices derived from three remote sensing sensors (i.e., Landsat 8 OLI/TIRS, Sentinel-2 MSI and Deimos-1 SLIM-6-22) to assess burn severity (site, vegetation and soil burn severity). As a case study, we used a megafire (9,939 ha) that occurred in a Mediterranean ecosystem in northwestern Spain. Remote sensing indices included seven reflective, two thermal and four mixed indices, which were derived from each satellite and were validated with field burn severity metrics obtained from CBI index. Correlation patterns of field burn severity and remote sensing indices were relatively consistent across the different sensors. Additionally, regardless of the sensor, indices that incorporated SWIR bands (i.e., NBR-based indices), exceed those using red and NIR bands, and thermal and mixed indices. High resolution Sentinel-2 imagery only slightly improved the performance of indices based on NBR compared to Landsat 8. The dNDVI index from Landsat 8 and Sentinel-2 images showed relatively similar correlation values to NBR-based indices for site and soil burn severity, but showed limitations using Deimos-1. In general, mono-temporal and relativized indices better correlated with vegetation burn severity in heterogeneous systems than differenced indices. This study showed good potential for Landsat 8 OLI/TIRS and Sentinel-2 MSI for burn severity assessment in fire-prone heterogeneous ecosystems, although we highlight the need for further evaluation of Deimos-1 SLIM-6-22 in different fire scenarios, especially using bi-temporal indices.
    Palabras Clave
    Composition Burn Index
    Remote sensing
    Thermal indices
    Spectral indices
    ISSN
    1569-8432
    Revisión por pares
    SI
    DOI
    10.1016/j.jag.2019.04.006
    Patrocinador
    Ministerio de Economía y Competitividad (proyectos GESFIRE AGL2013-48189-C2-1-R, FIRESEVES AGL2017-86075-C2-1-R)
    Junta de Castilla y León (proyectos FIRECYL LE033U14, SEFIRECYL LE001P17)
    Version del Editor
    https://www.sciencedirect.com/science/article/abs/pii/S030324341930176X
    Propietario de los Derechos
    Elsevier
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/72416
    Tipo de versión
    info:eu-repo/semantics/submittedVersion
    Derechos
    restrictedAccess
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    • DEP69 - Artículos de revista [32]
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