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    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, SusanaAutoridad Buleria
    Fernández-Guisuraga, José Manuel
    Fernández-García, Víctor
    Fernández Manso, AlfonsoAutoridad BuleriaORCID
    Quintano Pastor, Carmen
    Taboada Palomares, ÁngelaAutoridad BuleriaORCID
    Marcos Porras, Elena MaríaAutoridad BuleriaORCID
    Calvo Galván, María LeonorAutoridad BuleriaORCID
    Facultad/Centro
    Facultad de Ciencias Biologicas y Ambientales
    Área de conocimiento
    Ecologia
    Título de la revista
    International Journal of Applied Earth Observation and Geoinformation
    Datos de la obra
    International Journal of Applied Earth Observation and Geoinformation, 2019, vol. 80
    Editor
    Elsevier
    Fecha
    2019-08
    ISSN
    0303-2434
    Abstract
    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.
    Materia
    Ecología. Medio ambiente
    Palabras clave
    Composition burn index
    Remote sensing
    Thermal indices
    Spectral indices
    Peer review
    SI
    URI
    http://hdl.handle.net/10612/11248
    DOI
    https://doi.org/10.1016/j.jag.2019.04.006
    Versión del editor
    https://www.sciencedirect.com/science/article/pii/S030324341930176X
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