60637 20210301081639.0 doi 10.3390/rs6054240 sideral 85700 ART-2014-85700 eng Montealegre, A.L. Forest fire severity assessment using LiDAR data in a Mediterranean environment 2014 Access copy available to the general public Unrestricted Mediterranean pine forests in Spain experience wildland fire events with different frequencies, intensities, and severities which result in diverse socio-ecological consequences. In order to predict fire severity, spectral indices derived from remotely sensed images have been used extensively. Such spectral indices are usually used in combination with ground sampling to relate detected radiometric changes to actual fire effects. However, the potential of the tridimensional information captured by Airborne Laser Scanners (ALS) to severity mapping has been less explored. With the objective of addressing this question, in this paper, explanatory variables extracted from ALS point clouds are related to field estimations of the Composite Burn Index collected in four fires located in Aragón (Spain). Logistic regression models were developed and statistically tested and validated to map fire severity with up to 85.5% accuracy. The canopy relief ratio and the percentage of all returns above one meter height were the most significant variables and were therefore used to create a continuous map of severity levels. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.18 2014 REMOTE SENSING 5 / 28 = 0.179 2014 Q1 T1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Lamelas, M.T. Tanase, M. (orcid)0000-0003-2615-270X de la Riva, J. Universidad de Zaragoza 3006 010 Universidad de Zaragoza Dpto. Geograf. Ordenac.Territ. Área Análisis Geográfico Regi. 6, 5 (2014), 4240-4265 Remote sens. (Basel) Remote Sensing 2072-4292 5046049 http://zaguan.unizar.es/record/60637/files/texto_completo.pdf Versión publicada 83564 http://zaguan.unizar.es/record/60637/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:60637 articulos driver 2021-03-01-08:01:27 ARTICLE