Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation

17 Pág. Instituto de Ciencias Forestales (ICIFOR)

Detalles Bibliográficos
Autores: Marino, Eva, Tomé, José Luis, Hernando Lara, Carmen, Guijarro Guzmán, Mercedes, Madrigal, Javier
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/295738
Acceso en línea:http://hdl.handle.net/10261/295738
https://api.elsevier.com/content/abstract/scopus_id/85140626421
Access Level:acceso abierto
Palabra clave:Airborne LiDAR
Canopy base height
Canopy bulk density
Canopy fuel load
Fuel maps
Fuel modelling
Pulse density
Regression models
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spelling Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model FormulationMarino, EvaTomé, José LuisHernando Lara, CarmenGuijarro Guzmán, MercedesMadrigal, JavierAirborne LiDARCanopy base heightCanopy bulk densityCanopy fuel loadFuel mapsFuel modellingPulse densityRegression models17 Pág. Instituto de Ciencias Forestales (ICIFOR)Canopy fuel characterization is critical to assess fire hazard and potential severity in forest stands. Simulation tools provide useful information for fire prevention planning to reduce wildfire impacts, provided that reliable fuel maps exist at adequate spatial resolution. Free airborne LiDAR data are becoming available in many countries providing an opportunity to improve fuel monitoring at large scales. In this study, models were fitted to estimate canopy base height (CBH), fuel load (CFL) and bulk density (CBD) from airborne LiDAR in a pine stand area where four point-cloud datasets were acquired at different pulse densities. Best models for CBH, CFL and CBD fitted with LiDAR metrics from the 1 p/m2 dataset resulted in an adjusted R2 of 0.88, 0.68 and 0.58, respectively, with RMSE (MAPE) of 1.85 m (18%), 0.16 kg/m2 (14%) and 0.03 kg/m3 (20%). Transferability assessment of fitted models indicated different level of accuracy depending on LiDAR pulse density (both higher and lower than the calibration dataset) and model formulation (linear, power and exponential). Best results were found for exponential models and similar pulse density (1.7 p/m2) compared to lower (0.5 p/m2) or higher return density (4 p/m2). Differences were also observed regarding the canopy fuel attributes.This research was partially funded by the Spanish National Research Institute for Agricul ture (INIA) through projects VIS4FIRE (RTA2017-00042-C05-01) and GEPRIF (RTA2014-00011-C06-06), and co-funded by the EU-FEDER program. Eva Marino’s participation was also partially funded by a postdoctoral grant from the Spanish Ministry of Economy and Competitiveness (Torres-Quevedo program) supported by the European Social Fund (ESF).Peer reviewedMultidisciplinary Digital Publishing InstituteCSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)European CommissionMinisterio de Ciencia, Innovación y Universidades (España)Ministerio de Economía y Competitividad (España)Marino, Eva [0000-0002-2397-5543]Tomé, José Luis [0000-0003-2298-9115]Hernando Lara, Carmen [0000-0002-4022-5218]Guijarro Guzmán, Mercedes [0000-0001-6460-9171]Madrigal Olmo, Javier [0000-0001-7614-0737]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/295738https://api.elsevier.com/content/abstract/scopus_id/85140626421reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/CSIC-INIA/VIS4FIRE/RTA2017-00042-C05-01info:eu-repo/grantAgreement/MINECO//RTA2014-00011-C06-06Firehttps://doi.org/10.3390/fire5050126Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2957382026-05-22T06:33:51Z
dc.title.none.fl_str_mv Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
title Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
spellingShingle Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
Marino, Eva
Airborne LiDAR
Canopy base height
Canopy bulk density
Canopy fuel load
Fuel maps
Fuel modelling
Pulse density
Regression models
title_short Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
title_full Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
title_fullStr Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
title_full_unstemmed Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
title_sort Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
dc.creator.none.fl_str_mv Marino, Eva
Tomé, José Luis
Hernando Lara, Carmen
Guijarro Guzmán, Mercedes
Madrigal, Javier
author Marino, Eva
author_facet Marino, Eva
Tomé, José Luis
Hernando Lara, Carmen
Guijarro Guzmán, Mercedes
Madrigal, Javier
author_role author
author2 Tomé, José Luis
Hernando Lara, Carmen
Guijarro Guzmán, Mercedes
Madrigal, Javier
author2_role author
author
author
author
dc.contributor.none.fl_str_mv CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
European Commission
Ministerio de Ciencia, Innovación y Universidades (España)
Ministerio de Economía y Competitividad (España)
Marino, Eva [0000-0002-2397-5543]
Tomé, José Luis [0000-0003-2298-9115]
Hernando Lara, Carmen [0000-0002-4022-5218]
Guijarro Guzmán, Mercedes [0000-0001-6460-9171]
Madrigal Olmo, Javier [0000-0001-7614-0737]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Airborne LiDAR
Canopy base height
Canopy bulk density
Canopy fuel load
Fuel maps
Fuel modelling
Pulse density
Regression models
topic Airborne LiDAR
Canopy base height
Canopy bulk density
Canopy fuel load
Fuel maps
Fuel modelling
Pulse density
Regression models
description 17 Pág. Instituto de Ciencias Forestales (ICIFOR)
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/295738
https://api.elsevier.com/content/abstract/scopus_id/85140626421
url http://hdl.handle.net/10261/295738
https://api.elsevier.com/content/abstract/scopus_id/85140626421
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/CSIC-INIA/VIS4FIRE/RTA2017-00042-C05-01
info:eu-repo/grantAgreement/MINECO//RTA2014-00011-C06-06
Fire
https://doi.org/10.3390/fire5050126
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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