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Browsing by Subject "Severity"

Now showing items 1-5 of 5

Analysis of traffic accident severity using Decision Rules via Decision Trees

Abellán, J.; López-Maldonado, Griselda; De Oña, J. (Elsevier, 2013)

[EN] A Decision Tree (DT) is a potential method for studying traffic accident severity. One of its main advantages is that Decision Rules can be extracted from its structure and used to identify safety problems and establish ...
Bicycle crashes on two-lane rural roads in Spain

Frigioiu, Irina (Universitat Politècnica de València, 2016-10-25)

[EN] This study is an exploratory one to characterize bicycle crashes, including both single and multiple-vehicle crashes, and analyzing the effect of road elements or traffic participants. It is based on real statistic ...
Estudio crítico de los índices de severidad y la superficie afectada por el incendio de Sierra de Luna (Zaragoza)

Guillem-Cogollos, R.; Vinué-Visús, D.; Caselles-Miralles, V.; Espinós-Morató, H. (Universitat Politècnica de València, 2017-12-05)

[EN] To determine the area burned by fire and its associated severity related to this forest fire taken place in Sierra de Luna (Zaragoza), on July 4th, 2015, three spectral indices derived from Landsat-8 imagery have been ...
Estudio de Severidad en el incendio de Albinyana (Catalunya) a partir de datos SENTINEL-2

Guerrero, A.; Pineda, L.; Palà, V.; Corbera, J. (Universitat Politècnica de València, 2017-12-05)

[EN] The forest fire in Bonastre mountains (an area that has been several times affected by fires) on 06/01/2016, has been studied in order to obtain a Severity index. It is in the municipality of Albinyana, in the Baix ...
Potencial de las imágenes UAV como datos de verdad terreno para la clasificación de la severidad de quema de imágenes Landsat: aproximaciones a un producto útil para la gestión post incendio

Pla, M.; Duane, A.; Brotons, L. (Universitat Politècnica de València, 2017-12-05)

[EN] Mapping fire severity is determinant to understand landscape evolution after a wildfire and provides useful information for decision making during post fire management. Quantitative fire severity mapping from relative ...