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Título
Linking crown fire likelihood with post-fire spectral variability in Mediterranean fire-prone ecosystems
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
International Journal of Wildland Fire
Número de la revista
4
Datos de la obra
Fernández-Guisuraga, J. M., Calvo, L., Quintano, C., Fernández-Manso, A. & Fernandes P. M. (2024). Linking crown fire likelihood with post-fire spectral variability in Mediterranean fire-prone ecosystems. International Journal of Wildland Fire, 33(4), Article eWF23174. https://doi.org/10.1071/WF23174
Editor
CSIRO PUBLISHING
Fecha
2024
ISSN
1049-8001
Abstract
[EN] Background. Fire behaviour assessments of past wildfire events have major implications for anticipating post-fire ecosystem responses and fuel treatments to mitigate extreme fire behaviour of subsequent wildfires. Aims. This study evaluates for the first time the potential of remote sensing techniques to provide explicit estimates of fire type (surface fire, intermittent crown fire, and continuous crown fire) in Mediterranean ecosystems. Methods. Random Forest classification was used to assess the capability of spectral indices and multiple endmember spectral mixture analysis (MESMA) image fractions (char, photosynthetic vegetation, non- photosynthetic vegetation) retrieved from Sentinel-2 data to predict fire type across four large wildfires Key results. MESMA fraction images procured more accurate fire type estimates in broadleaf and conifer forests than spectral indices, without remarkable confusion among fire types. High crown fire likelihood in conifer and broadleaf forests was linked to a post-fire MESMA char fractional cover of about 0.8, providing a direct physical interpretation. Conclusions. Intrinsic biophysical characteristics such as the fractional cover of char retrieved from sub- pixel techniques with physical basis are accurate to assess fire type given the direct physical interpretation. Implications. MESMA may be leveraged by land managers to determine fire type across large areas, but further validation with field data is advised
Materia
Palabras clave
Peer review
SI
ID proyecto
- info:eu-repo/grantAgreement/AEI/Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia/PID2022-139156OB-C21/ES/Susceptibilidad y vulnerabilidad del paisaje frente a megaincendios severos en el eje atlántico-mediterráneo: soluciones basadas en la naturaleza para una gestión proactiva/ LANDSUSFIRE
- Info:eu-repo/grantAgreement/MICIN//TED2021-130925B-I00/ES/Tecnologías disruptivas para la toma de decisiones en la gestión post-incendio basadas en las soluciones de computación en la nube/FIREMAP
- info:eu-repo/grantAgreement/Junta de Castilla y León//LE005P20/ES/ Vulnerabilidad de la interfaz urbano-forestal y eficacia de las medidas de restauración tras incendio en áreas propensas al fuego de castilla y león. aplicaciones a la gestión pre y post-incendio/ WUIFIRECYL
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