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

Marino, Eva; Tomé, José Luis; Hernando Lara, Carmen; Guijarro Guzmán, Mercedes; Madrigal, Javier; CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)

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

17 Pág. Instituto de Ciencias Forestales (ICIFOR)

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Main Authors:	Marino, Eva, Tomé, José Luis, Hernando Lara, Carmen, Guijarro Guzmán, Mercedes, Madrigal, Javier
Other Authors:	CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Format:	artículo biblioteca
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2022-08-26
Subjects:	Airborne LiDAR, Canopy base height, Canopy bulk density, Canopy fuel load, Fuel maps, Fuel modelling, Pulse density, Regression models,
Online Access:	http://hdl.handle.net/10261/295738 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85140626421
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spelling	dig-inia-es-10261-2957382024-10-28T21:47:01Z Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation Marino, Eva Tomé, José Luis Hernando Lara, Carmen Guijarro Guzmán, Mercedes Madrigal, Javier 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] Airborne LiDAR Canopy base height Canopy bulk density Canopy fuel load Fuel maps Fuel modelling Pulse density Regression models 17 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 reviewed 2023-02-23T11:56:55Z 2023-02-23T11:56:55Z 2022-08-26 artículo http://purl.org/coar/resource_type/c_6501 Publisher's version Fire 5(5): e126 (2022) http://hdl.handle.net/10261/295738 10.3390/fire5050126 2571-6255 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 2-s2.0-85140626421 https://api.elsevier.com/content/abstract/scopus_id/85140626421 en #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/ES/Reducción de la Severidad del Fuego Mediante Nuevas Herramientas y Tecnologías para la Gestión Integrada de la Protección contra los Incendios Forestales/ Fire https://doi.org/10.3390/fire5050126 Sí open Multidisciplinary Digital Publishing Institute
institution	INIA ES
collection	DSpace
country	España
countrycode	ES
component	Bibliográfico
access	En linea
databasecode	dig-inia-es
tag	biblioteca
region	Europa del Sur
libraryname	Biblioteca del INIA España
language	English
topic	Airborne LiDAR Canopy base height Canopy bulk density Canopy fuel load Fuel maps Fuel modelling Pulse density Regression models Airborne LiDAR Canopy base height Canopy bulk density Canopy fuel load Fuel maps Fuel modelling Pulse density Regression models
spellingShingle	Airborne LiDAR Canopy base height Canopy bulk density Canopy fuel load Fuel maps Fuel modelling Pulse density Regression models Airborne LiDAR Canopy base height Canopy bulk density Canopy fuel load Fuel maps Fuel modelling Pulse density Regression models Marino, Eva Tomé, José Luis Hernando Lara, Carmen Guijarro Guzmán, Mercedes Madrigal, Javier Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
description	17 Pág. Instituto de Ciencias Forestales (ICIFOR)
author2	CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
author_facet	CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) Marino, Eva Tomé, José Luis Hernando Lara, Carmen Guijarro Guzmán, Mercedes Madrigal, Javier
format	artículo
topic_facet	Airborne LiDAR Canopy base height Canopy bulk density Canopy fuel load Fuel maps Fuel modelling Pulse density Regression models
author	Marino, Eva Tomé, José Luis Hernando Lara, Carmen Guijarro Guzmán, Mercedes Madrigal, Javier
author_sort	Marino, Eva
title	Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation
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
publisher	Multidisciplinary Digital Publishing Institute
publishDate	2022-08-26
url	http://hdl.handle.net/10261/295738 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85140626421
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_version_	1816136248536858624

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

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