Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term

P. 1-12

Detalles Bibliográficos
Autores: Fernández Guisuraga, José Manuel, Suárez-Seoane, Susana, Calvo Galván, María Leonor
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/13297
Acceso en línea:https://www.sciencedirect.com/science/article/pii/S0924271621000976
http://hdl.handle.net/10612/13297
https://doi.org/10.1016/j.isprsjprs.2021.04.002
Access Level:acceso abierto
Palabra clave:Ecología. Medio ambiente
Burn severity
Deimos-2
Forest fire
Fractional vegetation cover
PROSAIL-D
Radiative transfer modeling
Resilience
2417.13 Ecología Vegetal
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repository_id_str
spelling Radiative transfer modeling to measure fire impact and forest engineering resilience at short-termFernández Guisuraga, José ManuelSuárez-Seoane, SusanaCalvo Galván, María LeonorEcología. Medio ambienteBurn severityDeimos-2Forest fireFractional vegetation coverPROSAIL-DRadiative transfer modelingResilience2417.13 Ecología VegetalP. 1-12Forest managers demand reliable and cost-efficient methodologies to implement forest resilience concepts in post-fire decision-making at different spatio-temporal scales. In this paper, we developed a generalizable remote sensing-based tool to measure disturbance impact and engineering resilience at short-term in forest ecosystems affected by wildland fires. The case study was a mixed-severity wildfire that burned several shrubland (dominated by gorse, broom and heath) and tree forest (dominated by oak and pine) ecosystems. Specifically, we retrieved fractional vegetation cover (FVC) over a time-series of pre and post-fire Deimos-2 imagery (spatial resolution of 4 m) from a radiative transfer model (RTM) hybrid inversion approach (Gaussian processes regression algorithm learned from a simulation dataset generated using the PROSAIL-D model). Pre and post-fire FVC retrieval was validated with field data stratified by dominant ecosystem. High accuracy (>90%) and low error (<7%) were achieved in the retrieval over the time-series, despite the influence of background signal of soil and burned legacies. A random point sampling stratified by ecosystem and burn severity was used to extract validated FVC values for the time-series. A two-way repeated measures ANOVA was performed to evaluate the effect of burn severity along the time-series on FVC for each ecosystem. One-way repeated measures ANOVA and Tukey’s pairwise comparison test were applied to determine the earliest point in the time-series for which the FVC does not differ significantly from the pre-fire FVC. In tree forest ecosystems, the fire impact on FVC was stronger at high burn severity, being similar the impact on shrub ecosystems at medium and high burn severity. Engineering resilience was conditioned both by burn severity and species regenerative strategies. In ecosystems dominated by facultative or obligate seeders, pre-fire FVC was reached later across the time-series, compared to resprouter-dominated ecosystems. The RTM hybrid inversion tool has proved its reliability for assessing disturbance impact and ecosystem engineering resilience at short-term in heterogeneous fire-prone landscapes affected by mixed severity wildfires.SIElsevierEcologiaFacultad de Ciencias Biologicas y Ambientales2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttps://www.sciencedirect.com/science/article/pii/S0924271621000976http://hdl.handle.net/10612/13297https://doi.org/10.1016/j.isprsjprs.2021.04.002reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónInglésinfo:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/132972026-06-24T12:43:27Z
dc.title.none.fl_str_mv Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
title Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
spellingShingle Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
Fernández Guisuraga, José Manuel
Ecología. Medio ambiente
Burn severity
Deimos-2
Forest fire
Fractional vegetation cover
PROSAIL-D
Radiative transfer modeling
Resilience
2417.13 Ecología Vegetal
title_short Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
title_full Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
title_fullStr Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
title_full_unstemmed Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
title_sort Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
dc.creator.none.fl_str_mv Fernández Guisuraga, José Manuel
Suárez-Seoane, Susana
Calvo Galván, María Leonor
author Fernández Guisuraga, José Manuel
author_facet Fernández Guisuraga, José Manuel
Suárez-Seoane, Susana
Calvo Galván, María Leonor
author_role author
author2 Suárez-Seoane, Susana
Calvo Galván, María Leonor
author2_role author
author
dc.contributor.none.fl_str_mv Ecologia
Facultad de Ciencias Biologicas y Ambientales
dc.subject.none.fl_str_mv Ecología. Medio ambiente
Burn severity
Deimos-2
Forest fire
Fractional vegetation cover
PROSAIL-D
Radiative transfer modeling
Resilience
2417.13 Ecología Vegetal
topic Ecología. Medio ambiente
Burn severity
Deimos-2
Forest fire
Fractional vegetation cover
PROSAIL-D
Radiative transfer modeling
Resilience
2417.13 Ecología Vegetal
description P. 1-12
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0924271621000976
http://hdl.handle.net/10612/13297
https://doi.org/10.1016/j.isprsjprs.2021.04.002
url https://www.sciencedirect.com/science/article/pii/S0924271621000976
http://hdl.handle.net/10612/13297
https://doi.org/10.1016/j.isprsjprs.2021.04.002
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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