Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces

Producción Científica

Detalles Bibliográficos
Autores: Fernández Manso, Alfonso, Quintano Pastor, María del Carmen, Fernández Guisuraga, José Manuel, Roberts, Dar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/72440
Acceso en línea:https://doi.org/10.1016/j.scitotenv.2024.173568
https://uvadoc.uva.es/handle/10324/72440
Access Level:acceso abierto
Palabra clave:PRISMA
MESMA
NFI
Fire severity
WUI
Mediterranean
id ES_75258f2cc4da4b90d7ffa4c3fcc86a0b
oai_identifier_str oai:uvadoc.uva.es:10324/72440
network_acronym_str ES
network_name_str España
repository_id_str
spelling Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfacesFernández Manso, AlfonsoQuintano Pastor, María del CarmenFernández Guisuraga, José ManuelRoberts, DarPRISMAMESMANFIFire severityWUIMediterraneanProducción CientíficaThe increasing threat of high-severity wildfires in Mediterranean Wildland-Urban Interface (WUI) areas demands to develop effective fire risk assessment and management strategies. Simultaneously, the newfound accessibility of spaceborne hyperspectral data represents a significant potential for generating fire severity assessments, whereas National Forest Inventories (NFI) offer a vast dataset related to vegetation and fuel loads, which is essential for shaping the planning and strategies of forest services. This research work aims to advance the state-of-the-art in WUI fire risk mapping in the western Mediterranean Basin by combining PRISMA spaceborne hyperspectral data and Spanish NFI data. The proposed methodology had three main stages: (i) fire severity assessment at local scale (a wildfire) by using PRISMA hyperspectral data and Multi-Endmember Spectral Mixture Analysis (MESMA) leveraging field-based measurements of the Composite Burn Index (70 plots); (ii) development of a high fire severity probability map at regional scale from the extrapolation of a Random Forest predictive model calibrated from fire severity estimates, NFI data and topo-climatic variables at local scale (overall accuracy = 92 %; Kappa = 0.8); and (iii) identification and characterization of zones that concentrate WUIs with high probability of high fire severity if a fire event occurs (hot-spot WUIs) by crossing the information from the previous regional high fire severity probability map and a WUI cartography developed at regional scale. Study area was Castilla y León Autonomous Region (larger Spanish region, 94,226 km2), where the second-largest extreme Spanish wildfire event (28,000 ha) occurred. We identified hot-spot WUIs so that stakeholders and decision-makers could (i) prioritize resources and interventions for effective fire management and mitigation, (ii) allocate resources for prevention, and (iii) plan evacuation measures to safeguard lives and property. This study contributes to the development of next-generation fire risk assessment methods that combine remote sensing technologies with comprehensive ground-level datasets.Spanish Ministry of Science and Innovation in the framework of the LANDSUSFIRE project (PID2022-139156OB-C21) within the National Program for the Promotion of Scientific–Technical Research (2021–2023);Regional Government of Castile and León in the framework of the WUIFIRECYL project (LE005P20)Spanish Education Ministry grant (Salvador de Madariaga program)Spanish Education Ministry, Ramón Areces FoundationElsevier2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1016/j.scitotenv.2024.173568https://uvadoc.uva.es/handle/10324/72440reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidEspañolhttps://www.sciencedirect.com/science/article/pii/S004896972403715Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/oai:uvadoc.uva.es:10324/724402026-06-13T12:44:47Z
dc.title.none.fl_str_mv Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
title Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
spellingShingle Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
Fernández Manso, Alfonso
PRISMA
MESMA
NFI
Fire severity
WUI
Mediterranean
title_short Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
title_full Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
title_fullStr Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
title_full_unstemmed Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
title_sort Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
dc.creator.none.fl_str_mv Fernández Manso, Alfonso
Quintano Pastor, María del Carmen
Fernández Guisuraga, José Manuel
Roberts, Dar
author Fernández Manso, Alfonso
author_facet Fernández Manso, Alfonso
Quintano Pastor, María del Carmen
Fernández Guisuraga, José Manuel
Roberts, Dar
author_role author
author2 Quintano Pastor, María del Carmen
Fernández Guisuraga, José Manuel
Roberts, Dar
author2_role author
author
author
dc.subject.none.fl_str_mv PRISMA
MESMA
NFI
Fire severity
WUI
Mediterranean
topic PRISMA
MESMA
NFI
Fire severity
WUI
Mediterranean
description Producción Científica
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.scitotenv.2024.173568
https://uvadoc.uva.es/handle/10324/72440
url https://doi.org/10.1016/j.scitotenv.2024.173568
https://uvadoc.uva.es/handle/10324/72440
dc.language.none.fl_str_mv Español
language_invalid_str_mv Español
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S004896972403715X
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410959761604608
score 15,811543

Similares en LA Referencia