Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment

Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment

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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Main Authors: Tanase, Mihai A., González Nova, Juan Pedro, Marino, Eva, Aponte, Cristina, Tomé, José Luis, Yáñez, Lucía, Madrigal, Javier, Guijarro Guzmán, Mercedes, Hernando Lara, Carmen
Other Authors: Comunidad de Madrid
Format: artículo biblioteca
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022-11-04
Subjects:Live fuel moisture content, Sentinel-1, Sentinel-2,
Online Access:http://hdl.handle.net/10261/335892
http://dx.doi.org/10.13039/501100004837
http://dx.doi.org/10.13039/100012818
http://dx.doi.org/10.13039/501100011033
https://api.elsevier.com/content/abstract/scopus_id/85148700288
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id dig-ica-es-10261-335892
record_format koha
institution ICA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-ica-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICA España
language English
topic Live fuel moisture content
Sentinel-1
Sentinel-2
Live fuel moisture content
Sentinel-1
Sentinel-2
spellingShingle Live fuel moisture content
Sentinel-1
Sentinel-2
Live fuel moisture content
Sentinel-1
Sentinel-2
Tanase, Mihai A.
González Nova, Juan Pedro
Marino, Eva
Aponte, Cristina
Tomé, José Luis
Yáñez, Lucía
Madrigal, Javier
Guijarro Guzmán, Mercedes
Hernando Lara, Carmen
Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment
description © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
author2 Comunidad de Madrid
author_facet Comunidad de Madrid
Tanase, Mihai A.
González Nova, Juan Pedro
Marino, Eva
Aponte, Cristina
Tomé, José Luis
Yáñez, Lucía
Madrigal, Javier
Guijarro Guzmán, Mercedes
Hernando Lara, Carmen
format artículo
topic_facet Live fuel moisture content
Sentinel-1
Sentinel-2
author Tanase, Mihai A.
González Nova, Juan Pedro
Marino, Eva
Aponte, Cristina
Tomé, José Luis
Yáñez, Lucía
Madrigal, Javier
Guijarro Guzmán, Mercedes
Hernando Lara, Carmen
author_sort Tanase, Mihai A.
title Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment
title_short Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment
title_full Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment
title_fullStr Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment
title_full_unstemmed Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment
title_sort characterizing live fuel moisture content from active and passive sensors in a mediterranean environment
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022-11-04
url http://hdl.handle.net/10261/335892
http://dx.doi.org/10.13039/501100004837
http://dx.doi.org/10.13039/100012818
http://dx.doi.org/10.13039/501100011033
https://api.elsevier.com/content/abstract/scopus_id/85148700288
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_version_ 1816137100328697856
spelling dig-ica-es-10261-3358922024-10-28T21:45:28Z Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment Tanase, Mihai A. González Nova, Juan Pedro Marino, Eva Aponte, Cristina Tomé, José Luis Yáñez, Lucía Madrigal, Javier Guijarro Guzmán, Mercedes Hernando Lara, Carmen Comunidad de Madrid Ministerio de Ciencia e Innovación (España) Agencia Estatal de Investigación (España) Tanase, Mihai A. [0000-0002-0045-2299] Marino, Eva [0000-0002-2397-5543] Aponte, Cristina [0000-0002-8457-7573] Tomé, José Luis [0000-0003-2298-9115] Yáñez, Lucía [0000-0003-1140-6527] Madrigal Olmo, Javier [0000-0001-7614-0737] Guijarro Guzmán, Mercedes [0000-0001-6460-9171] Hernando Lara, Carmen [0000-0002-4022-5218] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] Live fuel moisture content Sentinel-1 Sentinel-2 © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Live fuel moisture content (LFMC) influences many fire-related aspects, including flammability, ignition, and combustion. In addition, fire spread models are highly sensitive to LFMC values. Despite its importance, LFMC estimation is still elusive due to its dependence on plant species traits, local conditions, and weather patterns. Although LFMC mapping from active synthetic aperture radar has increased over the past years, their utility for LFMC estimation needs further analysis to include additional areas characterized by different vegetation species and fire regimes. This study extended the current knowledge using medium spatial resolution (20 m) time series acquired by active (Sentinel-1) and passive (Sentinel-2) sensors. Our results show that optical-based LFMC estimation may achieve acceptable accuracy (R2 = 0.55, MAE = 15.1%, RMSE = 19.7%) at moderate (20 m) spatial resolution. When ancillary information (e.g., vegetation cover) was added, LFMC estimation improved (R2 = 0.63, MAE = 13.4%). Contrary to other studies, incorporating Sentinel-1 radar data did not provide for improved LFMC estimates, while the use of SAR data alone resulted in increased estimation errors (R2 = 0.28, MAE = 19%, RMSE = 25%). For increased fire risk scenarios (LFMC < 120%), estimation errors improved (MAE = 9.1%, RMSE = 11.8%), suggesting that direct LFMC retrieval from satellite data may be achieved with high temporal and spatial detail. This work was funded by the Madrid regional government (grant CM/JIN/2021–024) and the Spanish Ministry for Science and Innovation (grants PID2020–114062RA-I00, RYC-2017–22555 and RYC2018–024614-I, projects RTA2017–00042-C05–01, PID2020–116494RR-C41). Peer reviewed 2023-09-27T11:17:46Z 2023-09-27T11:17:46Z 2022-11-04 artículo http://purl.org/coar/resource_type/c_6501 Forests 13(11): e1846 (2022) http://hdl.handle.net/10261/335892 10.3390/f13111846 1999-4907 http://dx.doi.org/10.13039/501100004837 http://dx.doi.org/10.13039/100012818 http://dx.doi.org/10.13039/501100011033 2-s2.0-85148700288 https://api.elsevier.com/content/abstract/scopus_id/85148700288 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# S2021–024/CM/JIN info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114062RA-I00/ES/MONITOREO DE LAS PERTURBACIONES FORESTALES EN TIEMPO CASI REAL / info:eu-repo/grantAgreement/AEI//RYC-2017–22555 info:eu-repo/grantAgreement/AEI//RYC2018–024614-I info:eu-repo/grantAgreement/AEI//RTA2017–00042-C05–01 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116494RR-C41/ES/MEJORA DE LA RESILIENCIA A LOS INCENDIOS DE LOS SISTEMAS FORESTALES MEDITERRANEOS (SISTEMA IBERICO CENTRAL)/ Departamento de Medio Ambiente y Agronomía​/Instituto de Ciencias Forestales (ICIFOR) Publisher's version https://doi.org/10.3390/f13111846 Sí open application/pdf Multidisciplinary Digital Publishing Institute

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