Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco

Autores
Argañaraz, Juan Pablo; Landi, Marcos Alejandro; Bravo, Sandra Josefina; Gavier Pizarro, Gregorio; Scavuzzo, Carlos Marcelo; Bellis, Laura Marisa
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Moisture content of live fuels (LFMC) is one of the main factors determining fuel flammability and, therefore, a key indicator of fire danger. In this study, we modeled the relationship between spectral indices derived from satellite imagery and field estimations of LFMC in the Chaco Serrano subregion; then, we analyzed the relationship between fire danger estimations based on LFMC calculations and fire activity. Empirical LFMC models fitted for grasslands, Chaco Serrano forests, and glossy privet forests may be considered very accurate R2 > 0.80, whereas the model corresponding to shrublands still needs to be improved (R2 = 0.57). Monthly maps of fire danger reflected the occurrence of fires consistently during years of both high and low fire activity. Most fires occurred mainly in areas with high or extreme fire danger, demonstrating a clear relationship between LFMC and fire activity in the Chaco Serrano subregion. Our LFMC models may be useful to assess the spatiotemporal distribution of fire danger in the Chaco Serrano subregion using remote sensing data. The associated fire danger maps represent a valuable tool for improving decision making processes to organize early warning and fire suppression activities.
Fil: Argañaraz, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Landi, Marcos Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Bravo, Sandra Josefina. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales; Argentina
Fil: Gavier Pizarro, Gregorio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Recursos Biológicos; Argentina
Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales ; Argentina
Fil: Bellis, Laura Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Materia
Fires
Modeling
Moisture Measurement
Prediction Methods
Risk Analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/62387
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran ChacoArgañaraz, Juan PabloLandi, Marcos AlejandroBravo, Sandra JosefinaGavier Pizarro, GregorioScavuzzo, Carlos MarceloBellis, Laura MarisaFiresModelingMoisture MeasurementPrediction MethodsRisk Analysishttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Moisture content of live fuels (LFMC) is one of the main factors determining fuel flammability and, therefore, a key indicator of fire danger. In this study, we modeled the relationship between spectral indices derived from satellite imagery and field estimations of LFMC in the Chaco Serrano subregion; then, we analyzed the relationship between fire danger estimations based on LFMC calculations and fire activity. Empirical LFMC models fitted for grasslands, Chaco Serrano forests, and glossy privet forests may be considered very accurate R2 > 0.80, whereas the model corresponding to shrublands still needs to be improved (R2 = 0.57). Monthly maps of fire danger reflected the occurrence of fires consistently during years of both high and low fire activity. Most fires occurred mainly in areas with high or extreme fire danger, demonstrating a clear relationship between LFMC and fire activity in the Chaco Serrano subregion. Our LFMC models may be useful to assess the spatiotemporal distribution of fire danger in the Chaco Serrano subregion using remote sensing data. The associated fire danger maps represent a valuable tool for improving decision making processes to organize early warning and fire suppression activities.Fil: Argañaraz, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaFil: Landi, Marcos Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaFil: Bravo, Sandra Josefina. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales; ArgentinaFil: Gavier Pizarro, Gregorio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Recursos Biológicos; ArgentinaFil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales ; ArgentinaFil: Bellis, Laura Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaInstitute of Electrical and Electronics Engineers2016-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/62387Argañaraz, Juan Pablo; Landi, Marcos Alejandro; Bravo, Sandra Josefina; Gavier Pizarro, Gregorio; Scavuzzo, Carlos Marcelo; et al.; Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco; Institute of Electrical and Electronics Engineers; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing; 9; 12; 12-2016; 5339-53491939-1404CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7503072/info:eu-repo/semantics/altIdentifier/doi/10.1109/JSTARS.2016.2575366info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:54:12Zoai:ri.conicet.gov.ar:11336/62387instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:54:12.559CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco
title Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco
spellingShingle Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco
Argañaraz, Juan Pablo
Fires
Modeling
Moisture Measurement
Prediction Methods
Risk Analysis
title_short Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco
title_full Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco
title_fullStr Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco
title_full_unstemmed Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco
title_sort Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco
dc.creator.none.fl_str_mv Argañaraz, Juan Pablo
Landi, Marcos Alejandro
Bravo, Sandra Josefina
Gavier Pizarro, Gregorio
Scavuzzo, Carlos Marcelo
Bellis, Laura Marisa
author Argañaraz, Juan Pablo
author_facet Argañaraz, Juan Pablo
Landi, Marcos Alejandro
Bravo, Sandra Josefina
Gavier Pizarro, Gregorio
Scavuzzo, Carlos Marcelo
Bellis, Laura Marisa
author_role author
author2 Landi, Marcos Alejandro
Bravo, Sandra Josefina
Gavier Pizarro, Gregorio
Scavuzzo, Carlos Marcelo
Bellis, Laura Marisa
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Fires
Modeling
Moisture Measurement
Prediction Methods
Risk Analysis
topic Fires
Modeling
Moisture Measurement
Prediction Methods
Risk Analysis
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Moisture content of live fuels (LFMC) is one of the main factors determining fuel flammability and, therefore, a key indicator of fire danger. In this study, we modeled the relationship between spectral indices derived from satellite imagery and field estimations of LFMC in the Chaco Serrano subregion; then, we analyzed the relationship between fire danger estimations based on LFMC calculations and fire activity. Empirical LFMC models fitted for grasslands, Chaco Serrano forests, and glossy privet forests may be considered very accurate R2 > 0.80, whereas the model corresponding to shrublands still needs to be improved (R2 = 0.57). Monthly maps of fire danger reflected the occurrence of fires consistently during years of both high and low fire activity. Most fires occurred mainly in areas with high or extreme fire danger, demonstrating a clear relationship between LFMC and fire activity in the Chaco Serrano subregion. Our LFMC models may be useful to assess the spatiotemporal distribution of fire danger in the Chaco Serrano subregion using remote sensing data. The associated fire danger maps represent a valuable tool for improving decision making processes to organize early warning and fire suppression activities.
Fil: Argañaraz, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Landi, Marcos Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Bravo, Sandra Josefina. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales; Argentina
Fil: Gavier Pizarro, Gregorio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Recursos Biológicos; Argentina
Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales ; Argentina
Fil: Bellis, Laura Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
description Moisture content of live fuels (LFMC) is one of the main factors determining fuel flammability and, therefore, a key indicator of fire danger. In this study, we modeled the relationship between spectral indices derived from satellite imagery and field estimations of LFMC in the Chaco Serrano subregion; then, we analyzed the relationship between fire danger estimations based on LFMC calculations and fire activity. Empirical LFMC models fitted for grasslands, Chaco Serrano forests, and glossy privet forests may be considered very accurate R2 > 0.80, whereas the model corresponding to shrublands still needs to be improved (R2 = 0.57). Monthly maps of fire danger reflected the occurrence of fires consistently during years of both high and low fire activity. Most fires occurred mainly in areas with high or extreme fire danger, demonstrating a clear relationship between LFMC and fire activity in the Chaco Serrano subregion. Our LFMC models may be useful to assess the spatiotemporal distribution of fire danger in the Chaco Serrano subregion using remote sensing data. The associated fire danger maps represent a valuable tool for improving decision making processes to organize early warning and fire suppression activities.
publishDate 2016
dc.date.none.fl_str_mv 2016-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/62387
Argañaraz, Juan Pablo; Landi, Marcos Alejandro; Bravo, Sandra Josefina; Gavier Pizarro, Gregorio; Scavuzzo, Carlos Marcelo; et al.; Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco; Institute of Electrical and Electronics Engineers; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing; 9; 12; 12-2016; 5339-5349
1939-1404
CONICET Digital
CONICET
url http://hdl.handle.net/11336/62387
identifier_str_mv Argañaraz, Juan Pablo; Landi, Marcos Alejandro; Bravo, Sandra Josefina; Gavier Pizarro, Gregorio; Scavuzzo, Carlos Marcelo; et al.; Estimation of live fuel moisture content from MODIS Images for fire danger assessment in southern Gran Chaco; Institute of Electrical and Electronics Engineers; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing; 9; 12; 12-2016; 5339-5349
1939-1404
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7503072/
info:eu-repo/semantics/altIdentifier/doi/10.1109/JSTARS.2016.2575366
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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