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GIScience & Remote Sensing Volume 54, 2017 - Issue 5
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Articles

Using low-density discrete Airborne Laser Scanning data to assess the potential carbon dioxide emission in case of a fire event in a Mediterranean pine forest

Antonio Luis Montealegre-GraciaDepartment of Geography, University of Zaragoza, Zaragoza, Spain;GEOFOREST-IUCA Research Group, University of Zaragoza, Zaragoza, SpainCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-6288-2780View further author information
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María Teresa Lamelas-GraciaCentro Universitario de la Defensa de Zaragoza, Academia General Militar, Zaragoza, Spain;GEOFOREST-IUCA Research Group, University of Zaragoza, Zaragoza, SpainORCID Iconhttp://orcid.org/0000-0002-8954-7517View further author information
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Alberto García-MartínCentro Universitario de la Defensa de Zaragoza, Academia General Militar, Zaragoza, Spain;GEOFOREST-IUCA Research Group, University of Zaragoza, Zaragoza, SpainORCID Iconhttp://orcid.org/0000-0003-2610-7749View further author information
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Juan de la Riva-FernándezDepartment of Geography, University of Zaragoza, Zaragoza, Spain;GEOFOREST-IUCA Research Group, University of Zaragoza, Zaragoza, SpainORCID Iconhttp://orcid.org/0000-0003-2615-270XView further author information
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Francisco Escribano-BernalCentro Universitario de la Defensa de Zaragoza, Academia General Militar, Zaragoza, SpainORCID Iconhttp://orcid.org/0000-0001-8857-2094View further author information
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Pages 721-740 | Received 21 Dec 2016, Accepted 13 Apr 2017, Published online: 01 May 2017

Citations (8)

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P. J. Gelabert, A.L. Montealegre, M.T. Lamelas & D. Domingo. (2020) Forest structural diversity characterization in Mediterranean landscapes affected by fires using Airborne Laser Scanning data. GIScience & Remote Sensing 57:4, pages 497-509.
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Ruben Valbuena, Ana Hernando, Jose Antonio Manzanera, Eric B. Görgens, Danilo R. A. Almeida, Carlos A. Silva & Antonio García-Abril. (2019) Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient?. European Journal of Remote Sensing 52:1, pages 345-358.
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Articles from other publishers (6)

Man Wang, Jungho Im, Yinghui Zhao & Zhen Zhen. (2022) Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach. Remote Sensing 14:17, pages 4361.
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José Manuel Fernández-Guisuraga, Susana Suárez-Seoane, Paulo M. Fernandes, Víctor Fernández-García, Alfonso Fernández-Manso, Carmen Quintano & Leonor Calvo. (2022) Pre-fire aboveground biomass, estimated from LiDAR, spectral and field inventory data, as a major driver of burn severity in maritime pine (Pinus pinaster) ecosystems. Forest Ecosystems 9, pages 100022.
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Sergio Revilla, María Lamelas, Darío Domingo, Juan de la Riva, Raquel Montorio, Antonio Montealegre & Alberto García-Martín. (2021) Assessing the Potential of the DART Model to Discrete Return LiDAR Simulation—Application to Fuel Type Mapping. Remote Sensing 13:3, pages 342.
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Iván Torres, José M. Moreno, César Morales-Molino & Margarita Arianoutsou. 2021. Pines and Their Mixed Forest Ecosystems in the Mediterranean Basin. Pines and Their Mixed Forest Ecosystems in the Mediterranean Basin 617 629 .
A Hernando, L Puerto, B Mola-Yudego, JA Manzanera, A García-Abril, M Maltamo & R Valbuena. (2019) Estimation of forest biomass components using airborne LiDAR and multispectral sensors. iForest - Biogeosciences and Forestry 12:2, pages 207-213.
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Darío Domingo, María Lamelas, Antonio Montealegre, Alberto García-Martín & Juan de la Riva. (2018) Estimation of Total Biomass in Aleppo Pine Forest Stands Applying Parametric and Nonparametric Methods to Low-Density Airborne Laser Scanning Data. Forests 9:4, pages 158.
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