Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data

The forest fire in Bonastre mountains (an area that has been several times affected by fires) on 06/01/2016, has been studied in order to obtain a Severity index. It is in the municipality of Albinyana, in the Baix Penedès region in Catalonia. The study is considered a starting point for the assessm...

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Main Authors: A. Guerrero, L. Pineda, V. Palà, J. Corbera
Format: Article
Language:English
Published: Universitat Politécnica de Valencia 2017-12-01
Series:Revista de Teledetección
Subjects:
Online Access:https://polipapers.upv.es/index.php/raet/article/view/7105
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spelling doaj-d33ffc6685e940ed9a02a5b345649f812020-11-24T21:52:12ZengUniversitat Politécnica de ValenciaRevista de Teledetección1133-09531988-87402017-12-0104911512110.4995/raet.2017.71056171Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 dataA. Guerrero0L. Pineda1V. Palà2J. Corbera3Institut Cartogràfic i Geològic de CatalunyaInstitut Cartogràfic i Geològic de CatalunyaInstitut Cartogràfic i Geològic de CatalunyaInstitut Cartogràfic i Geològic de CatalunyaThe forest fire in Bonastre mountains (an area that has been several times affected by fires) on 06/01/2016, has been studied in order to obtain a Severity index. It is in the municipality of Albinyana, in the Baix Penedès region in Catalonia. The study is considered a starting point for the assessment and monitoring of the dynamics of regeneration of the burned surface. The dNBR index (Delta Normalized Burn Ratio) is obtained from SENTINEL-2 images, and the results are compared with CBI index (Composite Burned Index) obtained from ground survey.   This study is a result of the final work of “Màster en Tecnologies de la Informació Geogràfica, 18ª edició”, by the Universidad Autónoma de Barcelona (UAB) codirected by Institut Cartogràfic i Geològic de Catalunya.https://polipapers.upv.es/index.php/raet/article/view/7105dNBRSENTINEL-2Severidadincendio forestalteledetección
collection DOAJ
language English
format Article
sources DOAJ
author A. Guerrero
L. Pineda
V. Palà
J. Corbera
spellingShingle A. Guerrero
L. Pineda
V. Palà
J. Corbera
Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data
Revista de Teledetección
dNBR
SENTINEL-2
Severidad
incendio forestal
teledetección
author_facet A. Guerrero
L. Pineda
V. Palà
J. Corbera
author_sort A. Guerrero
title Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data
title_short Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data
title_full Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data
title_fullStr Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data
title_full_unstemmed Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data
title_sort severity study in albinyana (catalunya) forest fire, using sentinel-2 data
publisher Universitat Politécnica de Valencia
series Revista de Teledetección
issn 1133-0953
1988-8740
publishDate 2017-12-01
description The forest fire in Bonastre mountains (an area that has been several times affected by fires) on 06/01/2016, has been studied in order to obtain a Severity index. It is in the municipality of Albinyana, in the Baix Penedès region in Catalonia. The study is considered a starting point for the assessment and monitoring of the dynamics of regeneration of the burned surface. The dNBR index (Delta Normalized Burn Ratio) is obtained from SENTINEL-2 images, and the results are compared with CBI index (Composite Burned Index) obtained from ground survey.   This study is a result of the final work of “Màster en Tecnologies de la Informació Geogràfica, 18ª edició”, by the Universidad Autónoma de Barcelona (UAB) codirected by Institut Cartogràfic i Geològic de Catalunya.
topic dNBR
SENTINEL-2
Severidad
incendio forestal
teledetección
url https://polipapers.upv.es/index.php/raet/article/view/7105
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AT vpala severitystudyinalbinyanacatalunyaforestfireusingsentinel2data
AT jcorbera severitystudyinalbinyanacatalunyaforestfireusingsentinel2data
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