Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid

Following a copious and famous snowfall in Madrid city (Spain) and its surrounding area, the tree masses were analysed to assess the impact of this snowfall. In this way, this paper proposes an approach towards urban forest impact inventory mapping as a consequence of the snowfall of January 2021, a...

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Detalhes bibliográficos
Autores: Pérez González, María Eugenia, García Alvarado, José María, García Rodríguez, María Del Pilar, Jiménez Ballesta, Raimundo
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/71732
Acesso em linha:https://hdl.handle.net/20.500.14352/71732
Access Level:acceso abierto
Palavra-chave:Climate risk
Snowfall
Impact on trees
Satellite images
Satellite data
NDVI
Sentinel 2
Madrid
Geografía
Meteorología (Geografía)
Sistemas de información geográfica
2505 Geografía
2509 Meteorología
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repository_id_str
spelling Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of MadridPérez González, María EugeniaGarcía Alvarado, José MaríaGarcía Rodríguez, María Del PilarJiménez Ballesta, RaimundoClimate riskSnowfallImpact on treesSatellite imagesSatellite dataNDVISentinel 2MadridGeografíaMeteorología (Geografía)Sistemas de información geográfica2505 Geografía2509 MeteorologíaFollowing a copious and famous snowfall in Madrid city (Spain) and its surrounding area, the tree masses were analysed to assess the impact of this snowfall. In this way, this paper proposes an approach towards urban forest impact inventory mapping as a consequence of the snowfall of January 2021, and the subsequent atmospheric stability, which kept surface temperatures in Madrid close to −10 °C. The study has been carried out using snowfall data from 1920 to 2020 and images from the Sentinel, Landsat and MODIS satellites. The results obtained by means of image changes in the NDVI reveal a clear impact on the trees, with 11% of the winter vegetation cover of the municipality being affected. Especially significant has been the damage detected both in the forest areas in the city and in the parks, gardens or urban roads.MPDIUniversidad Complutense de Madrid20222022-04-2920222022-04-29journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/71732reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/717322026-06-02T12:44:21Z
dc.title.none.fl_str_mv Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid
title Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid
spellingShingle Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid
Pérez González, María Eugenia
Climate risk
Snowfall
Impact on trees
Satellite images
Satellite data
NDVI
Sentinel 2
Madrid
Geografía
Meteorología (Geografía)
Sistemas de información geográfica
2505 Geografía
2509 Meteorología
title_short Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid
title_full Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid
title_fullStr Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid
title_full_unstemmed Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid
title_sort Evaluation of the Impact Caused by the Snowfall after Storm Filomena on the Arboreal Masses of Madrid
dc.creator.none.fl_str_mv Pérez González, María Eugenia
García Alvarado, José María
García Rodríguez, María Del Pilar
Jiménez Ballesta, Raimundo
author Pérez González, María Eugenia
author_facet Pérez González, María Eugenia
García Alvarado, José María
García Rodríguez, María Del Pilar
Jiménez Ballesta, Raimundo
author_role author
author2 García Alvarado, José María
García Rodríguez, María Del Pilar
Jiménez Ballesta, Raimundo
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Climate risk
Snowfall
Impact on trees
Satellite images
Satellite data
NDVI
Sentinel 2
Madrid
Geografía
Meteorología (Geografía)
Sistemas de información geográfica
2505 Geografía
2509 Meteorología
topic Climate risk
Snowfall
Impact on trees
Satellite images
Satellite data
NDVI
Sentinel 2
Madrid
Geografía
Meteorología (Geografía)
Sistemas de información geográfica
2505 Geografía
2509 Meteorología
description Following a copious and famous snowfall in Madrid city (Spain) and its surrounding area, the tree masses were analysed to assess the impact of this snowfall. In this way, this paper proposes an approach towards urban forest impact inventory mapping as a consequence of the snowfall of January 2021, and the subsequent atmospheric stability, which kept surface temperatures in Madrid close to −10 °C. The study has been carried out using snowfall data from 1920 to 2020 and images from the Sentinel, Landsat and MODIS satellites. The results obtained by means of image changes in the NDVI reveal a clear impact on the trees, with 11% of the winter vegetation cover of the municipality being affected. Especially significant has been the damage detected both in the forest areas in the city and in the parks, gardens or urban roads.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-04-29
2022
2022-04-29
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/71732
url https://hdl.handle.net/20.500.14352/71732
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MPDI
publisher.none.fl_str_mv MPDI
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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