Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning

Both fire risk assessment and management of wildfire prevention strategies require different sources of data to represent the complex geospatial interaction that exists between environmental variables in the most accurate way possible. In this sense, geospatial analysis tools and remote sensing data...

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Autores: Krsnik, Goran, Busquets Olivé, Eduard, Piqué i Nicolau, Míriam, Larrañaga, Asier, Cardil Forradellas, Adrián, Garcia Gonzalo, Jordi, González-Olabarria, José Ramón
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/70189
Acceso en línea:https://doi.org/10.3390/rs12244124
http://hdl.handle.net/10459.1/70189
Access Level:acceso abierto
Palabra clave:Forest fire prevention
Fire hazard
Fire simulation
Open access server
Fuel modelling
Weather scenarios modelling
Geospatial dataset
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spelling Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments PlanningKrsnik, GoranBusquets Olivé, EduardPiqué i Nicolau, MíriamLarrañaga, AsierCardil Forradellas, AdriánGarcia Gonzalo, JordiGonzález-Olabarria, José RamónForest fire preventionFire hazardFire simulationOpen access serverFuel modellingWeather scenarios modellingGeospatial datasetBoth fire risk assessment and management of wildfire prevention strategies require different sources of data to represent the complex geospatial interaction that exists between environmental variables in the most accurate way possible. In this sense, geospatial analysis tools and remote sensing data offer new opportunities for estimating fire risk and optimizing wildfire prevention planning. Herein, we presented a conceptual design of a server that contained most variables required for predicting fire behavior at a regional level. For that purpose, an innovative and elaborated fuel modelling process and parameterization of all needed environmental and climatic variables were implemented in order to enable to more precisely define fuel characteristics and potential fire behaviors under different meteorological scenarios. The server, open to be used by scientists and technicians, is expected to be the steppingstone for an integrated tool to support decision-making regarding prevention and management of forest fires in Catalonia.This research was funded by the Departament d’Agricultura, Ramaderia, Pesca i Alimentació, of the Generalitat de Catalunya. Goran Krsnik acknowledges funding from AGAUR though the scholarship FI_B2 00147. J Garcia Gonzalo and JR Gonzalez Olabarria received funding from Spanish Ministry of Economy and Business (MINECO) and from Agency for the Research Centre of Catalonia (CERCA Programme/Generalitat de Catalunya).MDPI2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3390/rs12244124http://hdl.handle.net/10459.1/70189reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)InglésReproducció del document publicat a: https://doi.org/10.3390/rs12244124Remote Sensing, 2020, vol. 12, núm. 24, p. 4124cc-by, (c) Krsnik, Goran et al., 2020info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:repositori.udl.cat:10459.1/701892026-06-24T12:42:17Z
dc.title.none.fl_str_mv Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
title Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
spellingShingle Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
Krsnik, Goran
Forest fire prevention
Fire hazard
Fire simulation
Open access server
Fuel modelling
Weather scenarios modelling
Geospatial dataset
title_short Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
title_full Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
title_fullStr Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
title_full_unstemmed Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
title_sort Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
dc.creator.none.fl_str_mv Krsnik, Goran
Busquets Olivé, Eduard
Piqué i Nicolau, Míriam
Larrañaga, Asier
Cardil Forradellas, Adrián
Garcia Gonzalo, Jordi
González-Olabarria, José Ramón
author Krsnik, Goran
author_facet Krsnik, Goran
Busquets Olivé, Eduard
Piqué i Nicolau, Míriam
Larrañaga, Asier
Cardil Forradellas, Adrián
Garcia Gonzalo, Jordi
González-Olabarria, José Ramón
author_role author
author2 Busquets Olivé, Eduard
Piqué i Nicolau, Míriam
Larrañaga, Asier
Cardil Forradellas, Adrián
Garcia Gonzalo, Jordi
González-Olabarria, José Ramón
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Forest fire prevention
Fire hazard
Fire simulation
Open access server
Fuel modelling
Weather scenarios modelling
Geospatial dataset
topic Forest fire prevention
Fire hazard
Fire simulation
Open access server
Fuel modelling
Weather scenarios modelling
Geospatial dataset
description Both fire risk assessment and management of wildfire prevention strategies require different sources of data to represent the complex geospatial interaction that exists between environmental variables in the most accurate way possible. In this sense, geospatial analysis tools and remote sensing data offer new opportunities for estimating fire risk and optimizing wildfire prevention planning. Herein, we presented a conceptual design of a server that contained most variables required for predicting fire behavior at a regional level. For that purpose, an innovative and elaborated fuel modelling process and parameterization of all needed environmental and climatic variables were implemented in order to enable to more precisely define fuel characteristics and potential fire behaviors under different meteorological scenarios. The server, open to be used by scientists and technicians, is expected to be the steppingstone for an integrated tool to support decision-making regarding prevention and management of forest fires in Catalonia.
publishDate 2020
dc.date.none.fl_str_mv 2020
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/10.3390/rs12244124
http://hdl.handle.net/10459.1/70189
url https://doi.org/10.3390/rs12244124
http://hdl.handle.net/10459.1/70189
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.3390/rs12244124
Remote Sensing, 2020, vol. 12, núm. 24, p. 4124
dc.rights.none.fl_str_mv cc-by, (c) Krsnik, Goran et al., 2020
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by, (c) Krsnik, Goran et al., 2020
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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